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2021

  1. G Maguolo, L Nanni and S Ghidoni. Ensemble of convolutional neural networks trained with different activation functions. EXPERT SYSTEMS WITH APPLICATIONS 166, 2021. DOI BibTeX

    @article{10.1016/j.eswa.2020.114048,
    	doi = "10.1016/j.eswa.2020.114048",
    	keywords = "Activation functions; Ensemble; MeLU; Neural networks",
    	abstract = "Activation functions play a vital role in the training of Convolutional Neural Networks. For this reason, developing efficient and well-performing functions is a crucial problem in the deep learning community. The idea of these approaches is to allow a reliable parameter learning, avoiding vanishing gradient problems. The goal of this work is to propose an ensemble of Convolutional Neural Networks trained using several different activation functions. Moreover, a novel activation function is here proposed for the first time. Our aim is to improve the performance of Convolutional Neural Networks in small/medium sized biomedical datasets. Our results clearly show that the proposed ensemble outperforms Convolutional Neural Networks trained with a standard ReLU as activation function. The proposed ensemble outperforms with a p-value of 0.01 each tested stand-alone activation function; for reliable performance comparison we tested our approach on more than 10 datasets, using two well-known Convolutional Neural Networks: Vgg16 and ResNet50.",
    	volume = 166,
    	journal = "EXPERT SYSTEMS WITH APPLICATIONS",
    	publisher = "Elsevier Ltd",
    	year = 2021,
    	title = "Ensemble of convolutional neural networks trained with different activation functions",
    	author = "Maguolo, G. and Nanni, L. and Ghidoni, S.",
    	id = "11577_3389751"
    }
    
  2. Maria Rubega, Emanuela Formaggio, Roberto Di Marco, Margherita Bertuccelli, Stefano Tortora, Emanuele Menegatti, Manuela Cattelan, Paolo Bonato, Stefano Masiero and Alessandra Del Felice. Cortical correlates in upright dynamic and static balance in the elderly. SCIENTIFIC REPORTS 11, 2021. DOI BibTeX

    @article{10.1038/s41598-021-93556-3,
    	doi = "10.1038/s41598-021-93556-3",
    	abstract = "Falls are the second most frequent cause of injury in the elderly. Physiological processes associated with aging affect the elderly's ability to respond to unexpected balance perturbations, leading to increased fall risk. Every year, approximately 30% of adults, 65 years and older, experiences at least one fall. Investigating the neurophysiological mechanisms underlying the control of static and dynamic balance in the elderly is an emerging research area. The study aimed to identify cortical and muscular correlates during static and dynamic balance tests in a cohort of young and old healthy adults. We recorded cortical and muscular activity in nine elderly and eight younger healthy participants during an upright stance task in static and dynamic (core board) conditions. To simulate real-life dual-task postural control conditions, the second set of experiments incorporated an oddball visual task. We observed higher electroencephalographic (EEG) delta rhythm over the anterior cortex in the elderly and more diffused fast rhythms (i.e., alpha, beta, gamma) in younger participants during the static balance tests. When adding a visual oddball, the elderly displayed an increase in theta activation over the sensorimotor and occipital cortices. During the dynamic balance tests, the elderly showed the recruitment of sensorimotor areas and increased muscle activity level, suggesting a preferential motor strategy for postural control. This strategy was even more prominent during the oddball task. Younger participants showed reduced cortical and muscular activity compared to the elderly, with the noteworthy difference of a preferential activation of occipital areas that increased during the oddball task. These results support the hypothesis that different strategies are used by the elderly compared to younger adults during postural tasks, particularly when postural and cognitive tasks are combined. The knowledge gained in this study could inform the development of age-specific rehabilitative and assistive interventions.",
    	volume = 11,
    	journal = "SCIENTIFIC REPORTS",
    	year = 2021,
    	title = "Cortical correlates in upright dynamic and static balance in the elderly",
    	author = "Rubega, Maria and Formaggio, Emanuela and Di Marco, Roberto and Bertuccelli, Margherita and Tortora, Stefano and Menegatti, Emanuele and Cattelan, Manuela and Bonato, Paolo and Masiero, Stefano and Del Felice, Alessandra",
    	id = "11577_3395906"
    }
    
  3. Maria Rubega, Roberto Di Marco, Marianna Zampini, Emanuela Formaggio, Emanuele Menegatti, Paolo Bonato, Stefano Masiero and Alessandra Del Felice. Muscular and cortical activation during dynamic and static balance in the elderly: A scoping review. AGING BRAIN 1, 2021. URL, DOI BibTeX

    @article{10.1016/j.nbas.2021.100013,
    	doi = "10.1016/j.nbas.2021.100013",
    	url = "https://www.sciencedirect.com/science/article/pii/S2589958921000098#ak005",
    	keywords = "Electromyography, Electroencephalography, Balance, Older adults, Postural control",
    	abstract = "Falls due to balance impairment are a major cause of injury and disability in the elderly. The study of neurophysiological correlates during static and dynamic balance tasks is an emerging area of research that could lead to novel rehabilitation strategies and reduce fall risk. This review aims to highlight key concepts and identify gaps in the current knowledge of balance control in the elderly that could be addressed by relying on surface electromyographic (EMG) and electroencephalographic (EEG) recordings. The neurophysiological hypotheses underlying balance studies in the elderly as well as the methodologies, findings, and limitations of prior work are herein addressed. The literature shows: 1) a wide heterogeneity in the experimental procedures, protocols, and analyses; 2) a paucity of studies involving the investigation of cortical activity; 3) aging-related alterations of cortical activation during balance tasks characterized by lower cortico-muscular coherence and increased allocation of attentional control to postural tasks in the elderly; and 4) EMG patterns characterized by delayed onset after perturbations, increased levels of activity, and greater levels of muscle co-activation in the elderly compared to younger adults. EMG and EEG recordings are valuable tools to monitor muscular and cortical activity during the performance of balance tasks. However, standardized protocols and analysis techniques should be agreed upon and shared by the scientific community to provide reliable and reproducible results. This will allow researchers to gain a comprehensive knowledge on the neurophysiological changes affecting static and dynamic balance in the elderly and will inform the design of rehabilitative and preventive interventions.",
    	volume = 1,
    	journal = "AGING BRAIN",
    	publisher = "Elsevier",
    	year = 2021,
    	title = "Muscular and cortical activation during dynamic and static balance in the elderly: A scoping review",
    	author = "Rubega, Maria and Di Marco, Roberto and Zampini, Marianna and Formaggio, Emanuela and Menegatti, Emanuele and Bonato, Paolo and Masiero, Stefano and Del Felice, Alessandra",
    	id = "11577_3388698"
    }
    
  4. M Terreran and S Ghidoni. Light deep learning models enriched with Entangled features for RGB-D semantic segmentation. ROBOTICS AND AUTONOMOUS SYSTEMS 146, 2021. DOI BibTeX

    @article{10.1016/j.robot.2021.103862,
    	doi = "10.1016/j.robot.2021.103862",
    	keywords = "Deep learning; Scene understanding; Semantic segmentation",
    	abstract = "Semantic segmentation is a crucial task in emerging robotic applications like autonomous driving and social robotics. State-of-the-art methods in this field rely on deep learning, with several works in the literature following the trend of using larger networks to achieve higher performance. However, this leads to greater model complexity and higher computational costs, which make it difficult to integrate such models on mobile robots. In this work we investigate how it is possible to obtain lighter performing deep models introducing additional data at a very low computational cost, instead of increasing the network complexity. We consider the features used in the 3D Entangled Forests algorithm, proposing different strategies to integrate such additional information into different deep networks. The new features allow to obtain lighter and performing segmentation models, either by shrinking the network size or improving existing networks proposed for real-time segmentation. Such result represents an interesting alternative in mobile robotics application, where computational power and energy are limited.",
    	volume = 146,
    	journal = "ROBOTICS AND AUTONOMOUS SYSTEMS",
    	publisher = "Elsevier B.V.",
    	year = 2021,
    	title = "Light deep learning models enriched with Entangled features for RGB-D semantic segmentation",
    	author = "Terreran, M. and Ghidoni, S.",
    	id = "11577_3400526"
    }
    
  5. Mattia Guidolin, RAZVAN ANDREI BUDAU PETREA, Roberto Oboe, Monica Reggiani, Emanuele Menegatti and Luca Tagliapietra. On the accuracy of IMUs for human motion tracking: a comparative evaluation. In Conference Proceedings - IEEE International Conference on Mechatronics. 2021. DOI BibTeX

    @conference{10.1109/ICM46511.2021.9385684,
    	doi = "10.1109/ICM46511.2021.9385684",
    	abstract = "Inertial Measurement Units (IMUs) are becoming more and more popular in human motion tracking applications. Among the other advantages, wearability, portability, limited costs, and accuracy are the main drivers of their increasing use. These devices are nowadays well-established commercially available products, ranging from few to hundreds of Euros. The main purpose of this study is to investigate the potentialities and the limits of IMUs belonging to different commercial segments in providing accurate orientation estimates within the operating conditions characterizing the human motion. These are simulated by means of a direct drive servomotor, in order to ensure accuracy and repeatability of the whole assessment pipeline. Both static and dynamic conditions are analyzed, the latter obtained by varying frequency and amplitude of a sinusoidal motion, thus evaluating the performances for a broad set of movements. IMUs orientations are estimated through proprietary filters, when available, and then compared with the well-established Madgwick's filter, to effectively investigate the performances of the on-board sensors. Results show that the low-cost IMUs are suited for applications requiring low bandwidth, while the comparison through Madgwick's filter did not highlight appreciable differences among the IMUs.",
    	booktitle = "Conference Proceedings - IEEE International Conference on Mechatronics",
    	year = 2021,
    	title = "On the accuracy of IMUs for human motion tracking: a comparative evaluation",
    	author = "Guidolin, Mattia and BUDAU PETREA, RAZVAN ANDREI and Oboe, Roberto and Reggiani, Monica and Menegatti, Emanuele and Tagliapietra, Luca",
    	id = "11577_3363611"
    }
    
  6. Mattia Guidolin, Emanuele Menegatti, Monica Reggiani and Luca Tagliapietra. A ROS driver for Xsens wireless inertial measurement unit systems. In Conference Proceedings - IEEE International Conference on Industrial Technology. 2021, 677–683. DOI BibTeX

    @conference{10.1109/ICIT46573.2021.9453640,
    	pages = "677--683",
    	doi = "10.1109/ICIT46573.2021.9453640",
    	keywords = "Human robot interaction, XSens, IMU, ROS, HiRos, Inertial Measurement Units",
    	abstract = "This paper presents an efficient open-source driver for interfacing Xsens inertial measurement systems (in particular the Xsens MTw Awinda wireless motion trackers) with the Robot Operating System (ROS). The driver supports the simultaneous connection of up to 20 trackers, limit fixed by the Xsens software, to a master PC, and directly streams sensors data (linear accelerations, angular velocities, magnetic fields, orientations) up to 120 Hz to the ROS network through one or multiple configurable topics. Moreover, a synchronization procedure is implemented to avoid possible partial frames where the readings from one (or multiple) trackers are missing. The proposed messages are based on ROS standard ones and comply with the ROS developer guidelines. This guarantees the compatibility of any ROS package requiring as input ROS messages with the proposed driver, thus effectively integrating Xsens inertial measurement systems with the ROS ecosystem. This work aims to push forward the development of a large variety of human-robot interaction applications where accurate real-time knowledge of human motion is crucial.",
    	booktitle = "Conference Proceedings - IEEE International Conference on Industrial Technology",
    	year = 2021,
    	title = "A ROS driver for Xsens wireless inertial measurement unit systems",
    	author = "Guidolin, Mattia and Menegatti, Emanuele and Reggiani, Monica and Tagliapietra, Luca",
    	id = "11577_3363610"
    }
    
  7. Alberto Bacchin, Gloria Beraldo and Emanuele Menegatti. Learning to plan people-aware trajectories for robot navigation: A genetic algorithm. In Proceedings of IEEE European Conference on Mobile Robots (EMCR). 2021. URL, DOI BibTeX

    @conference{10.1109/ECMR50962.2021.9568804,
    	isbn = "978-166541213-1",
    	doi = "10.1109/ECMR50962.2021.9568804",
    	url = "https://ieeexplore.ieee.org/document/9568804",
    	abstract = "Nowadays, one of the emergent challenges in mobile robotics consists of navigating safely and efficiently in dynamic environments populated by people. This paper focuses on the robot's motion planning by proposing a learning-based method to adjust the robot's trajectories to people's movements by respecting the proxemics rules. With this purpose, we design a genetic algorithm to train the navigation stack of ROS during the goal-based navigation while the robot is disturbed by people. We also present a simulation environment based on Gazebo that extends the animated model for emulating a more natural human's walking. Preliminary results show that our approach is able to plan people-aware robot's trajectories respecting proxemics limits without worsening the performance in navigation.",
    	booktitle = "Proceedings of IEEE European Conference on Mobile Robots (EMCR)",
    	year = 2021,
    	title = "Learning to plan people-aware trajectories for robot navigation: A genetic algorithm",
    	author = "Bacchin, Alberto and Beraldo, Gloria and Menegatti, Emanuele",
    	id = "11577_3402573"
    }
    
  8. Stefano Tortora, Maria Rubega, Emanuela Formaggio, Roberto Di Marco, Stefano Masiero, Emanuele Menegatti, Luca Tonin and Alessandra Del Felice. Age-related differences in visual P300 ERP during dual-task postural balance. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021. 2021, 6511-6514–6514. URL, DOI BibTeX

    @conference{10.1109/EMBC46164.2021.9630088,
    	pages = "6511-6514--6514",
    	isbn = "978-1-7281-1179-7",
    	doi = "10.1109/EMBC46164.2021.9630088",
    	url = "https://ieeexplore.ieee.org/document/9630088",
    	abstract = "Standing and concurrently performing a cognitive task is a very common situation in everyday life. It is associated with a higher risk of falling in the elderly. Here, we aim at evaluating the differences of the P300 evoked potential elicited by a visual oddball paradigm between healthy younger (< 35 y) and older (> 64 y) adults during a simultaneous postural task. We found that P300 latency increases significantly (p < 0.001) when the elderly are engaged in more challenging postural tasks; younger adults show no effect of balance condition. Our results demonstrate that, even if the elderly have the same accuracy in odd stimuli detection as younger adults do, they require a longer processing time for stimulus discrimination. This finding suggests an increased attentional load which engages additional cerebral reserves.",
    	booktitle = "2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)",
    	volume = 2021,
    	year = 2021,
    	title = "Age-related differences in visual P300 ERP during dual-task postural balance",
    	author = "Tortora, Stefano and Rubega, Maria and Formaggio, Emanuela and Di Marco, Roberto and Masiero, Stefano and Menegatti, Emanuele and Tonin, Luca and Del Felice, Alessandra",
    	id = "11577_3409536"
    }
    
  9. R Di Marco, M Rubega, O Lennon, E Formaggio, N Sutaj, G Dazzi, C Venturin, I Bonini, R Ortner, H A C Bazo, L Tonin, S Tortora, S Masiero and A Del Felice. Experimental protocol to assess neuromuscular plasticity induced by an exoskeleton training session. METHODS AND PROTOCOLS 4, 2021. DOI BibTeX

    @article{10.3390/mps4030048,
    	doi = "10.3390/mps4030048",
    	keywords = "Aging; EEG; EMG; Exoskeleton; Neuromuscular plasticity; Rehabilitation; Stroke",
    	abstract = "Exoskeleton gait rehabilitation is an emerging area of research, with potential applications in the elderly and in people with central nervous system lesions, e.g., stroke, traumatic brain/spinal cord injury. However, adaptability of such technologies to the user is still an unmet goal. Despite important technological advances, these robotic systems still lack the fine tuning necessary to adapt to the physiological modification of the user and are not yet capable of a proper human-machine interaction. Interfaces based on physiological signals, e.g., recorded by electroencephalography (EEG) and/or electromyography (EMG), could contribute to solving this technological challenge. This protocol aims to: (1) quantify neuro-muscular plasticity induced by a single training session with a robotic exoskeleton on post-stroke people and on a group of age and sex-matched controls; (2) test the feasibility of predicting lower limb motor trajectory from physiological signals for future use as control signal for the robot. An active exoskeleton that can be set in full mode (i.e., the robot fully replaces and drives the user motion), adaptive mode (i.e., assistance to the user can be tuned according to his/her needs), and free mode (i.e., the robot completely follows the user movements) will be used. Participants will undergo a preparation session, i.e., EMG sensors and EEG cap placement and inertial sensors attachment to measure, respectively, muscular and cortical activity, and motion. They will then be asked to walk in a 15 m corridor: (i) self-paced without the exoskeleton (pre-training session); (ii) wearing the exoskeleton and walking with the three modes of use; (iii) self-paced without the exoskeleton (post-training session). From this dataset, we will: (1) quantitatively estimate short-term neuroplasticity of brain connectivity in chronic stroke survivors after a single session of gait training; (2) compare muscle activation patterns during exoskeleton-gait between stroke survivors and age and sex-matched controls; and (3) perform a feasibility analysis on the use of physiological signals to decode gait intentions.",
    	volume = 4,
    	journal = "METHODS AND PROTOCOLS",
    	publisher = "MDPI AG",
    	year = 2021,
    	title = "Experimental protocol to assess neuromuscular plasticity induced by an exoskeleton training session",
    	author = "Di Marco, R. and Rubega, M. and Lennon, O. and Formaggio, E. and Sutaj, N. and Dazzi, G. and Venturin, C. and Bonini, I. and Ortner, R. and Bazo, H. A. C. and Tonin, L. and Tortora, S. and Masiero, S. and Del Felice, A.",
    	id = "11577_3408171"
    }
    
  10. Gloria Beraldo, Luca Tonin, Amedeo Cesta and Emanuele Menegatti. Brain-Driven Telepresence Robots: A Fusion of User’s Commands with Robot’s Intelligence. In 19th Proceedings of the International Conference of the Italian Association for Artificial Intelligence 12414. 2021, 235–248. URL, DOI BibTeX

    @conference{10.1007/978-3-030-77091-4_15,
    	pages = "235--248",
    	isbn = "978-3-030-77090-7",
    	doi = "10.1007/978-3-030-77091-4_15",
    	url = "https://link.springer.com/chapter/10.1007/978-3-030-77091-4_15",
    	booktitle = "19th Proceedings of the International Conference of the Italian Association for Artificial Intelligence",
    	volume = 12414,
    	year = 2021,
    	title = "Brain-Driven Telepresence Robots: A Fusion of User’s Commands with Robot’s Intelligence",
    	author = "Beraldo, Gloria and Tonin, Luca and Cesta, Amedeo and Menegatti, Emanuele",
    	id = "11577_3395898"
    }
    
  11. Gloria Beraldo, Luca Tonin and Emanuele Menegatti. Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions. In 19th Proceedings of the International Conference of the Italian Association for Artificial Intelligence 12414. 2021, 457–465. URL, DOI BibTeX

    @conference{10.1007/978-3-030-77091-4_27,
    	pages = "457--465",
    	isbn = "978-3-030-77090-7",
    	doi = "10.1007/978-3-030-77091-4_27",
    	url = "https://link.springer.com/chapter/10.1007/978-3-030-77091-4_27",
    	booktitle = "19th Proceedings of the International Conference of the Italian Association for Artificial Intelligence",
    	volume = 12414,
    	year = 2021,
    	title = "Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions",
    	author = "Beraldo, Gloria and Tonin, Luca and Menegatti, Emanuele",
    	id = "11577_3395897"
    }
    
  12. Gloria Beraldo, Luca Tonin, Amedeo Cesta and Emanuele Menegatti. Shared approaches to mentally drive telepresence robots. In Conference Proceedings - 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020). 2021. URL BibTeX

    @conference{,
    	11577_3359960pages = "22--27",
    	url = "https://www.scopus.com/record/display.uri?eid=2-s2.0-85101290718&origin=AuthorEval&zone=hIndex-DocumentList",
    	abstract = "Recently there has been a growing interest in designing human-in-the-loop applicationsbased on shared approachesthat fuse the user’s commands with the perception of the context. In this scenario, we focus on user-supervised telepresence robots, designed to improvethe quality of life of peoplesuffering from severe physical disabilities or elderlywho cannot move anymore.In this regard, we introduce brain-machine interfaces that enable usersto directly control the robot through their brain activity. Since the nature of this interface, characterized by low bit rate and noise, herein, we present different methodologiestoaugment the human-robot interaction and to facilitate the research and the development of these technologies.",
    	booktitle = "Conference Proceedings - 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020)",
    	year = 2021,
    	title = "Shared approaches to mentally drive telepresence robots",
    	author = "Beraldo, Gloria and Tonin, Luca and Cesta, Amedeo and Menegatti, Emanuele",
    	id = "11577_3359960"
    }
    
  13. A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, F V Fleckenstein, A Fontenla, M Imperoli, R Khanna, F Liebisch, P Lottes, A Milioto, D Nardi, S Nardi, J Pfeifer, M Popovic, C Potena, C Pradalier, E Rothacker-Feder, I Sa, A Schaefer, R Siegwart, C Stachniss, A Walter, W Winterhalter, X Wu and J Nieto. Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE ROBOTICS AND AUTOMATION MAGAZINE 28:29–49, 2021. DOI BibTeX

    @article{10.1109/MRA.2020.3012492,
    	pages = "29--49",
    	doi = "10.1109/MRA.2020.3012492",
    	volume = 28,
    	journal = "IEEE ROBOTICS AND AUTOMATION MAGAZINE",
    	publisher = "Institute of Electrical and Electronics Engineers Inc.",
    	year = 2021,
    	title = "Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution",
    	author = "Pretto, A. and Aravecchia, S. and Burgard, W. and Chebrolu, N. and Dornhege, C. and Falck, T. and Fleckenstein, F. V. and Fontenla, A. and Imperoli, M. and Khanna, R. and Liebisch, F. and Lottes, P. and Milioto, A. and Nardi, D. and Nardi, S. and Pfeifer, J. and Popovic, M. and Potena, C. and Pradalier, C. and Rothacker-Feder, E. and Sa, I. and Schaefer, A. and Siegwart, R. and Stachniss, C. and Walter, A. and Winterhalter, W. and Wu, X. and Nieto, J.",
    	id = "11577_3392373"
    }
    
  14. N Castaman, E Pagello, E Menegatti and A Pretto. Receding Horizon Task and Motion Planning in Changing Environments. ROBOTICS AND AUTONOMOUS SYSTEMS 145, 2021. DOI BibTeX

    @article{10.1016/j.robot.2021.103863,
    	doi = "10.1016/j.robot.2021.103863",
    	keywords = "Non-static Environments; Robot manipulation; Task and Motion Planning",
    	abstract = "Complex manipulation tasks require careful integration of symbolic reasoning and motion planning. This problem, commonly referred to as Task and Motion Planning (TAMP), is even more challenging if the workspace is non-static, e.g. due to human interventions and perceived with noisy non-ideal sensors. This work proposes an online approximated TAMP method that combines a geometric reasoning module and a motion planner with a standard task planner in a receding horizon fashion. Our approach iteratively solves a reduced planning problem over a receding window of a limited number of future actions during the implementation of the actions. Thus, only the first action of the horizon is actually scheduled at each iteration, then the window is moved forward, and the problem is solved again. This procedure allows to naturally take into account potential changes in the scene while ensuring good runtime performance. We validate our approach within extensive experiments in a simulated environment. We showed that our approach is able to deal with unexpected changes in the environment while ensuring comparable performance with respect to other recent TAMP approaches in solving traditional static benchmarks. We release with this paper the open-source implementation of our method.",
    	volume = 145,
    	journal = "ROBOTICS AND AUTONOMOUS SYSTEMS",
    	publisher = "Elsevier B.V.",
    	year = 2021,
    	title = "Receding Horizon Task and Motion Planning in Changing Environments",
    	author = "Castaman, N. and Pagello, E. and Menegatti, E. and Pretto, A.",
    	id = "11577_3397909"
    }
    
  15. Matteo Terreran, Daniele Evangelista, Jacopo Lazzaro and Alberto Pretto. Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts. Markus Vincze, Timothy Patten, Henrik I Christensen, Lazaros Nalpantidis, Ming Liu, 2021. DOI BibTeX

    @inbook{10.1007/978-3-030-87156-7_12,
    	isbn = "978-3-030-87156-7",
    	doi = "10.1007/978-3-030-87156-7_12",
    	booktitle = "2021 13th IEEE International Conference on Computer Vision Systems (ICVS)",
    	publisher = "Markus Vincze, Timothy Patten, Henrik I Christensen, Lazaros Nalpantidis, Ming Liu",
    	year = 2021,
    	title = "Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts",
    	author = "Terreran, Matteo and Evangelista, Daniele and Lazzaro, Jacopo and Pretto, Alberto",
    	id = "11577_3400531"
    }
    
  16. M Fawakherji, C Potena, A Pretto, D D Bloisi and D Nardi. Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming. ROBOTICS AND AUTONOMOUS SYSTEMS 146, 2021. DOI BibTeX

    @article{10.1016/j.robot.2021.103861,
    	doi = "10.1016/j.robot.2021.103861",
    	keywords = "Agricultural robotics; cGANs; Crop/weed detection; Semantic segmentation",
    	abstract = "An effective perception system is a fundamental component for farming robots, as it enables them to properly perceive the surrounding environment and to carry out targeted operations. The most recent methods make use of state-of-the-art machine learning techniques to learn a valid model for the target task. However, those techniques need a large amount of labeled data for training. A recent approach to deal with this issue is data augmentation through Generative Adversarial Networks (GANs), where entire synthetic scenes are added to the training data, thus enlarging and diversifying their informative content. In this work, we propose an alternative solution with respect to the common data augmentation methods, applying it to the fundamental problem of crop/weed segmentation in precision farming. Starting from real images, we create semi-artificial samples by replacing the most relevant object classes (i.e., crop and weeds) with their synthesized counterparts. To do that, we employ a conditional GAN (cGAN), where the generative model is trained by conditioning the shape of the generated object. Moreover, in addition to RGB data, we take into account also near-infrared (NIR) information, generating four channel multi-spectral synthetic images. Quantitative experiments, carried out on three publicly available datasets, show that (i) our model is capable of generating realistic multi-spectral images of plants and (ii) the usage of such synthetic images in the training process improves the segmentation performance of state-of-the-art semantic segmentation convolutional networks.",
    	volume = 146,
    	journal = "ROBOTICS AND AUTONOMOUS SYSTEMS",
    	publisher = "Elsevier B.V.",
    	year = 2021,
    	title = "Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming",
    	author = "Fawakherji, M. and Potena, C. and Pretto, A. and Bloisi, D. D. and Nardi, D.",
    	id = "11577_3399543"
    }
    


2019

  1. Yongheng Zhao, Tolga Birdal, Haowen Deng and Federico Tombari. 3D Point Capsule Networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019, 1009–1018. BibTeX

    @inproceedings{zhao20193d,
    	title = "3D Point Capsule Networks",
    	author = "Zhao, Yongheng and Birdal, Tolga and Deng, Haowen and Tombari, Federico",
    	booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition",
    	pages = "1009--1018",
    	year = 2019
    }
    


2018

  1. G Beraldo and E Menegatti. Socially Assistive Robots for Inclusion. In 5th Italian Workshop on Artificial Intelligence and Robotics 2018 (AIRO 2018). November 2018. BibTeX

    @inproceedings{beraldo2,
    	author = "G. Beraldo and E. Menegatti",
    	booktitle = "5th Italian Workshop on Artificial Intelligence and Robotics 2018 (AIRO 2018)",
    	title = "Socially {A}ssistive {R}obots for {I}nclusion",
    	year = 2018,
    	month = "November"
    }
    
  2. G Beraldo, Di S Battista, S Badaloni, E Menegatti and M Pivetti. Sex differences in expectations and perception of a social robot. In 2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO). September 2018, 1-6. BibTeX

    @inproceedings{beraldo,
    	author = "G. Beraldo and S. Di Battista and S. Badaloni and E. Menegatti and M. Pivetti",
    	booktitle = "2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)",
    	title = "Sex differences in expectations and perception of a social robot",
    	year = 2018,
    	pages = "1-6",
    	month = "September"
    }
    
  3. G Beraldo, M Antonello, A Cimolato, E Menegatti and L Tonin. Brain-Computer Interface Meets ROS: A Robotic Approach to Mentally Drive Telepresence Robots. In 2018 IEEE International Conference on Robotics and Automation (ICRA). May 2018, 1-6. DOI BibTeX

    @inproceedings{beraldo1,
    	author = "G. Beraldo and M. Antonello and A. Cimolato and E. Menegatti and L. Tonin",
    	booktitle = "2018 IEEE International Conference on Robotics and Automation (ICRA)",
    	title = "Brain-{C}omputer {I}nterface {M}eets {ROS}: {A} {R}obotic {A}pproach to {M}entally {D}rive {T}elepresence {R}obots",
    	year = 2018,
    	pages = "1-6",
    	keywords = "brain;brain-computer interfaces;collision avoidance;control engineering computing;geriatrics;handicapped aids; learning (artificial intelligence);medical robotics;medical signal processing;mobile robots;operating systems (computers); patient rehabilitation;position control;robot programming;telerobotics;video streaming;noninvasive Brain-Computer Interface; Robot Operating System;telepresence robot;mobile device;human brain signals;severe physical disabilities;elderly people;BCI user; robot position control;obstacle avoidance;video streaming;Navigation;Robot sensing systems;Task analysis;Telepresence; Brain-computer interfaces",
    	doi = "10.1109/ICRA.2018.8460578",
    	issn = "2577-087X",
    	month = "May"
    }
    
  4. G Beraldo, E Menegatti, De V Tommasi, R Mancin and F Benini. Social Robots as Alternative Non-Pharmacological Techniques for procedures in children. In Proc of Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges (SREC). March 2018. BibTeX

    @inproceedings{8460578,
    	author = "G. Beraldo and E. Menegatti and V. De Tommasi and R. Mancin and F. Benini",
    	booktitle = "Proc of Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges (SREC)",
    	title = "{S}ocial {R}obots as {A}lternative {N}on-{P}harmacological {T}echniques for procedures in children",
    	year = 2018,
    	month = "March"
    }
    
  5. Gloria Beraldo, Nicola Castaman, Roberto Bortoletto, Enrico Pagello, José R Millán, Luca Tonin and Emanuele Menegatti. ROS-health: An open-source framework for neurorobotics. In 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2018, Brisbane, Australia, May 16-19, 2018. 2018, 174–179. URL, DOI BibTeX

    @inproceedings{DBLP:conf/simpar/BeraldoCBPMTM18,
    	author = "Gloria Beraldo and Nicola Castaman and Roberto Bortoletto and Enrico Pagello and Jos{\'{e}} del R. Mill{\'{a}}n and Luca Tonin and Emanuele Menegatti",
    	title = "{ROS}-health: {A}n open-source framework for neurorobotics",
    	booktitle = "2018 {IEEE} International Conference on Simulation, Modeling, and Programming for Autonomous Robots, {SIMPAR} 2018, Brisbane, Australia, May 16-19, 2018",
    	pages = "174--179",
    	year = 2018,
    	crossref = "DBLP:conf/simpar/2018",
    	url = "https://doi.org/10.1109/SIMPAR.2018.8376288",
    	doi = "10.1109/SIMPAR.2018.8376288",
    	timestamp = "Fri, 02 Nov 2018 09:38:59 +0100",
    	biburl = "https://dblp.org/rec/bib/conf/simpar/BeraldoCBPMTM18",
    	bibsource = "dblp computer science bibliography, https://dblp.org"
    }
    
  6. Francesca Stival, Stefano Michieletto, Andrea De Agnoi and Enrico Pagello. Toward a better robotic hand prosthesis control: using EMG and IMU features for a subject independent multi joint regression model. In 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). 2018. BibTeX

    @inproceedings{Stival2018,
    	abstract = "The interest on wearable prosthetic devices has boost the research for a robust framework to help injured subjects to regain their lost functionality. A great number of solutions exploit physiological human signals, such as Electromyography (EMG), to naturally control the prosthesis, reproducing what happens in the human limbs. In this paper, we propose for the first time a way to integrate EMG signals with Inertial Measurement Unit (IMU) information, as a way to improve subject-independent models for controlling robotic hands. EMG data are very sensitive to both physical and physiological variations, and this is particularly true between different subjects. The introduction of IMUs aims at enriching the subject-independent model, making it more robust with information not strictly dependent from the physiological characteristics of the subject. We compare three different models: the first based on EMG solely, the second merging data from EMG and the 2 best IMUs available, and the third using EMG and IMUs information corresponding to the same 3 electrodes. The three techniques are tested on two different movements executed by 35 healthy subjects, by using a leave-one-out approach. The framework is able to estimate online the bending angles of the joints involved in the motion, obtaining an accuracy up to 0.8634. The resulting joint angles are used to actuate a robotic hand in a simulated environment.",
    	author = "Stival, Francesca and Michieletto, Stefano and {De Agnoi}, Andrea and Pagello, Enrico",
    	booktitle = "7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)",
    	isbn = 9781538681824,
    	title = "{Toward a better robotic hand prosthesis control: using EMG and IMU features for a subject independent multi joint regression model}",
    	year = 2018
    }
    
  7. Francesca Stival, Stefano Michieletto and Enrico Pagello. Subject Independent EMG Analysis by using Low-Cost hardware. In Systems, Man, and Cybernetics (SMC), 2018 IEEE International Conference on. 2018. BibTeX

    @inproceedings{stival2018subject,
    	author = "Stival, Francesca and Michieletto, Stefano and Pagello, Enrico",
    	booktitle = "Systems, Man, and Cybernetics (SMC), 2018 IEEE International Conference on",
    	organization = "IEEE",
    	title = "Subject Independent EMG Analysis by using Low-Cost hardware",
    	year = 2018
    }
    
  8. Francesca Stival, Stefano Michieletto, Enrico Pagello, Henning Müller and Manfredo Atzori. Quantitative Hierarchical Representation and Comparison of Hand Grasps from Electromyography and Kinematic Data. In in Workshop Proceedings of the 15th International Conference on Autonomous Systems IAS-15, Workshop on Learning Applications for Intelligent Autonomous Robots (LAIAR-2018). 2018. BibTeX

    @inproceedings{stival2018quantitative,
    	author = {Stival, Francesca and Michieletto, Stefano and Pagello, Enrico and M{\"{u}}ller, Henning and Atzori, Manfredo},
    	booktitle = "in Workshop Proceedings of the 15th International Conference on Autonomous Systems IAS-15, Workshop on Learning Applications for Intelligent Autonomous Robots (LAIAR-2018)",
    	organization = "ISBN: 978-3-00-059946-0",
    	title = "Quantitative Hierarchical Representation and Comparison of Hand Grasps from Electromyography and Kinematic Data",
    	year = 2018
    }
    
  9. Francesca Stival, Michele Moro and Enrico Pagello. A first approach to a taxonomy-based classification framework for hand grasps. , 2018. BibTeX

    @article{stival2018first,
    	title = "A first approach to a taxonomy-based classification framework for hand grasps",
    	author = "Stival, Francesca and Moro, Michele and Pagello, Enrico",
    	year = 2018
    }
    
  10. Mattia Guidolin, Marco Carraro, Stefano Ghidoni and Emanuele Menegatti. A Limb-based Approach for Body Pose Recognition Using a Predefined Set of Poses. In Workshop Proceedings of the 15th International Conference on Autonomous Systems IAS-15. 2018. BibTeX

    @inproceedings{guidolin2018limb,
    	title = "A Limb-based Approach for Body Pose Recognition Using a Predefined Set of Poses",
    	author = "Guidolin, Mattia and Carraro, Marco and Ghidoni, Stefano and Menegatti, Emanuele",
    	booktitle = "Workshop Proceedings of the 15th International Conference on Autonomous Systems IAS-15",
    	year = 2018
    }
    
  11. Stefano Tortora, Stefano Michieletto and Emanuele Menegatti. Synergy-based Gaussian Mixture Model to anticipate reaching direction identification for robotic applications. In Proc. of the IAS-15 Workshop on Learning Applications for Intelligent Autonomous Robots (LAIAR-2018). 2018, 13. BibTeX

    @inproceedings{Tortora2018,
    	author = "Tortora, Stefano and Michieletto, Stefano and Menegatti, Emanuele",
    	booktitle = "Proc. of the IAS-15 Workshop on Learning Applications for Intelligent Autonomous Robots (LAIAR-2018)",
    	pages = 13,
    	title = "{Synergy-based Gaussian Mixture Model to anticipate reaching direction identification for robotic applications}",
    	year = 2018
    }
    
  12. Stefano Tortora, Stefano Michieletto and Emanuele Menegatti. Synergy-based Classification to Anticipate Reaching Direction Identification in Stroke subject for Robotic Arm Teleoperation. In SCHOOL AND SYMPOSIUM ON ADVANCED NEUROREHABILITATION (SSNR2018). 2018, 36. BibTeX

    @inproceedings{tortorasynergy,
    	title = "Synergy-based Classification to Anticipate Reaching Direction Identification in Stroke subject for Robotic Arm Teleoperation",
    	author = "Tortora, Stefano and Michieletto, Stefano and Menegatti, Emanuele",
    	booktitle = "SCHOOL AND SYMPOSIUM ON ADVANCED NEUROREHABILITATION (SSNR2018)",
    	pages = 36,
    	year = 2018
    }
    
  13. Yongheng Zhao and Emanuele Menegatti. MS3D: Mean-Shift Object Tracking Boosted by Joint Back Projection of Color and Depth. In International Conference on Intelligent Autonomous Systems. 2018, 222–236. BibTeX

    @inproceedings{zhao2018ms3d,
    	title = "MS3D: Mean-Shift Object Tracking Boosted by Joint Back Projection of Color and Depth",
    	author = "Zhao, Yongheng and Menegatti, Emanuele",
    	booktitle = "International Conference on Intelligent Autonomous Systems",
    	pages = "222--236",
    	year = 2018,
    	organization = "Springer"
    }
    
  14. Stefano Michieletto, Francesca Stival, Francesco Castelli and Enrico Pagello. Automated and Flexible Coil Winding Robotic Framework. In ISR 2018; 50th International Symposium on Robotics. 2016, 1–4. BibTeX

    @inproceedings{michieletto2016automated,
    	title = "Automated and Flexible Coil Winding Robotic Framework",
    	author = "Michieletto, Stefano and Stival, Francesca and Castelli, Francesco and Pagello, Enrico",
    	booktitle = "ISR 2018; 50th International Symposium on Robotics",
    	pages = "1--4",
    	year = 2016,
    	organization = "VDE"
    }
    


2017

  1. Francesco Castelli, Stefano Michieletto, Stefano Ghidoni and Enrico Pagello. A machine learning-based visual servoing approach for fast robot control in industrial setting. International Journal of Advanced Robotic Systems 14(6), 2017. DOI BibTeX

    @article{Castelli2017,
    	abstract = "Industry 4.0 aims to make collaborative robotics accessible and effective inside factories. Human–robot interaction is enhanced by means of advanced perception systems which allow a flexible and reliable production. We are one of the contenders of a challenge with the intent of improve cooperation in industry. Within this competition, we developed a novel visual servoing system, based on a machine learning technique, for the automation of the winding of copper wire during the production of electric motors. Image-based visual servoing systems are often limited by the speed of the image processing module that runs at a frequency on the order of magnitude lower with respect to the robot control speed. In this article, a solution to this problem is proposed: the visual servoing function is synthesized using the Gaussian mixture model (GMM) machine learning system, which guarantees an extremely fast response. Issues related to data size reduction and collection of the data set needed to properly train the learner are discussed, and the performance of the proposed method is compared against the standard visual servoing algorithm used for training the GMM. The system has been developed and tested for a path following application on an aluminium bar to simulate the real stator teeth of a generic electric motor. Experimental results demonstrate that the proposed method is able to reproduce the visual servoing function with a minimal error while guaranteeing extremely high working frequency.",
    	author = "Castelli, Francesco and Michieletto, Stefano and Ghidoni, Stefano and Pagello, Enrico",
    	doi = "10.1177/1729881417738884",
    	issn = 17298814,
    	journal = "International Journal of Advanced Robotic Systems",
    	keywords = "Gaussian mixture model,Visual learning,computer vision,learning and adaptive systems,robot programming by demonstration,sensor-based control,visual control of robotic systems,visual servoing",
    	number = 6,
    	title = "{A machine learning-based visual servoing approach for fast robot control in industrial setting}",
    	volume = 14,
    	year = 2017
    }
    
  2. Francesca Stival, Stefano Michieletto and Enrico Pagello. How to Deploy a Wire with a Robotic Platform: Learning from Human Visual Demonstrations. Procedia Manufacturing 11:224–232, 2017. DOI BibTeX

    @article{Stival2017,
    	abstract = "In this paper, we address the problem of deploying a wire along a specific path selected by an unskilled user. The robot has to learn the selected path and pass a wire through the peg table by using the same tool. The main contribution regards the hybrid use of Cartesian positions provided by a learning procedure and joint positions obtained by inverse kinematics and motion planning. Some constraints are introduced to deal with non-rigid material without breaks or knots. We took into account a series of metrics to evaluate the robot learning capabilities, all of them over performed the targets.",
    	author = "Stival, Francesca and Michieletto, Stefano and Pagello, Enrico",
    	doi = "10.1016/j.promfg.2017.07.230",
    	issn = 23519789,
    	journal = "Procedia Manufacturing",
    	keywords = "Industry 4.0,Inverse Kinematics,Manipulators,Programming by demonstration,Robot learning",
    	pages = "224--232",
    	title = "{How to Deploy a Wire with a Robotic Platform: Learning from Human Visual Demonstrations}",
    	volume = 11,
    	year = 2017
    }
    
  3. Morris Antonello, Andrea Gobbi, Stefano Michieletto, Stefano Ghidoni and Emanuele Menegatti. A fully automatic hand-eye calibration system. In 2017 European Conference on Mobile Robots, ECMR 2017. 2017. DOI BibTeX

    @inproceedings{Antonello2017,
    	author = "Antonello, Morris and Gobbi, Andrea and Michieletto, Stefano and Ghidoni, Stefano and Menegatti, Emanuele",
    	booktitle = "2017 European Conference on Mobile Robots, ECMR 2017",
    	doi = "10.1109/ECMR.2017.8098681",
    	isbn = 9781538610961,
    	title = "{A fully automatic hand-eye calibration system}",
    	year = 2017
    }
    
  4. Francesca Stival, Stefano Michieletto and Enrico Pagello. How to Deploy a Wire with a Robotic Platform: Learning from Human Visual Demonstrations. Procedia Manufacturing 11:224 - 232, 2017. 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, 27-30 June 2017, Modena, Italy. URL, DOI BibTeX

    @article{stival2017how,
    	title = "How to Deploy a Wire with a Robotic Platform: Learning from Human Visual Demonstrations",
    	journal = "Procedia Manufacturing",
    	volume = 11,
    	pages = "224 - 232",
    	year = 2017,
    	note = "27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017, 27-30 June 2017, Modena, Italy",
    	issn = "2351-9789",
    	doi = "https://doi.org/10.1016/j.promfg.2017.07.230",
    	url = "http://www.sciencedirect.com/science/article/pii/S2351978917304389",
    	author = "Stival, Francesca and Michieletto, Stefano and Pagello, Enrico",
    	keywords = "Robot learning, Industry 4.0, Manipulators, Inverse Kinematics, Programming by demonstration"
    }
    
  5. Stefano Michieletto, Francesca Stival, Francesco Castelli, Mony Khosravi, Alberto Landini, Stefano Ellero, Roberto Landò, Nicolò Boscolo, Stefano Tonello, Bogdan Varaticeanu, Paul Minciunescu and Enrico Pagello. Flexicoil: Flexible robotized coils winding for electric machines manufacturing industry. In ICRA workshop on Industry of the future: Collaborative, Connected, Cognitive. 2017. BibTeX

    @inproceedings{michieletto2017flexicoil,
    	title = "Flexicoil: Flexible robotized coils winding for electric machines manufacturing industry",
    	author = "Michieletto, Stefano and Stival, Francesca and Castelli, Francesco and Khosravi, Mony and Landini, Alberto and Ellero, Stefano and Landò, Roberto and Boscolo, Nicolò and Tonello, Stefano and Varaticeanu, Bogdan and Minciunescu, Paul and Pagello, Enrico",
    	booktitle = "ICRA workshop on Industry of the future: Collaborative, Connected, Cognitive",
    	year = 2017
    }
    
  6. Fabian Just, Özhan Özen, Stefano Tortora, Robert Riener and Georg Rauter. Feedforward model based arm weight compensation with the rehabilitation robot ARMin. In Rehabilitation Robotics (ICORR), 2017 International Conference on. 2017, 72–77. BibTeX

    @inproceedings{just2017feedforward,
    	title = "Feedforward model based arm weight compensation with the rehabilitation robot ARMin",
    	author = {Just, Fabian and {\"O}zen, {\"O}zhan and Tortora, Stefano and Riener, Robert and Rauter, Georg},
    	booktitle = "Rehabilitation Robotics (ICORR), 2017 International Conference on",
    	pages = "72--77",
    	year = 2017,
    	organization = "IEEE"
    }
    
  7. Yongheng Zhao, Marco Carraro, Matteo Munaro and Emanuele Menegatti. Robust multiple object tracking in RGB-D camera networks. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2017, 6625–6632. BibTeX

    @inproceedings{zhao2017robust,
    	title = "Robust multiple object tracking in RGB-D camera networks",
    	author = "Zhao, Yongheng and Carraro, Marco and Munaro, Matteo and Menegatti, Emanuele",
    	booktitle = "2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)",
    	pages = "6625--6632",
    	year = 2017,
    	organization = "IEEE"
    }
    


2016

  1. Marco Carraro, Matteo Munaro and Emanuele Menegatti. Skeleton estimation and tracking by means of depth data fusion from depth camera networks. Robotics and Autonomous Systems 110, October 2018. DOI BibTeX

    @article{article3,
    	author = "Carraro, Marco and Munaro, Matteo and Menegatti, Emanuele",
    	doi = "10.1016/j.robot.2018.09.009",
    	journal = "Robotics and Autonomous Systems",
    	month = 10,
    	title = "Skeleton estimation and tracking by means of depth data fusion from depth camera networks",
    	volume = 110,
    	year = 2018,
    	bdsk-url-1 = "http://dx.doi.org/10.1016/j.robot.2018.09.009"
    }
    
  2. Luca Tonin, Andrea Cimolato and Emanuele Menegatti. Do not Move! Entropy Driven Detection of Intentional Non-control During Online SMR-BCI Operations. Volume 15, pages 989–993, October 2017. DOI BibTeX

    @inbook{cite-key,
    	author = "Tonin, Luca and Cimolato, Andrea and Menegatti, Emanuele",
    	date = "2017/10/01",
    	date-added = "2019-01-22 13:17:38 +0000",
    	date-modified = "2019-01-22 13:17:38 +0000",
    	doi = "10.1007/978-3-319-46669-9{\_}160",
    	isbn = "978-3-319-46668-2",
    	journal = "Biosystems and Biorobotics",
    	month = 10,
    	pages = "989--993",
    	title = "Do not Move! Entropy Driven Detection of Intentional Non-control During Online SMR-BCI Operations",
    	ty = "CHAP",
    	volume = 15,
    	year = 2017,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-46669-9%7B%5C_%7D160"
    }
    
  3. Matteo Comin and Morris Antonello. On the comparison of regulatory sequences with multiple resolution Entropic Profiles. BMC Bioinformatics 17, December 2016. DOI BibTeX

    @article{article4,
    	author = "Comin, Matteo and Antonello, Morris",
    	doi = "10.1186/s12859-016-0980-2",
    	journal = "BMC Bioinformatics",
    	month = 12,
    	title = "On the comparison of regulatory sequences with multiple resolution Entropic Profiles",
    	volume = 17,
    	year = 2016,
    	bdsk-url-1 = "http://dx.doi.org/10.1186/s12859-016-0980-2"
    }
    
  4. Marco Carraro, Matteo Munaro and Emanuele Menegatti. A Powerful and Cost-Efficient Human Perception System for Camera Networks and Mobile Robotics. July 2016. DOI BibTeX

    @inproceedings{inproceedings0,
    	author = "Carraro, Marco and Munaro, Matteo and Menegatti, Emanuele",
    	doi = "10.1007/978-3-319-48036-7_35",
    	journal = "Advances in Intelligent Systems and Computing",
    	month = 07,
    	title = "A Powerful and Cost-Efficient Human Perception System for Camera Networks and Mobile Robotics",
    	volume = 531,
    	year = 2016,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-48036-7_35"
    }
    
  5. F Stival, S Michieletto and E Pagello. Online subject-independent modeling of sEMG signals for the motion of a single robot joint. In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) (). June 2016, 1110-1116. DOI BibTeX

    @inproceedings{7523780,
    	author = "F. Stival and S. Michieletto and E. Pagello",
    	booktitle = "2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)",
    	title = "Online subject-independent modeling of sEMG signals for the motion of a single robot joint",
    	year = 2016,
    	volume = "",
    	number = "",
    	pages = "1110-1116",
    	keywords = "electromyography;Gaussian processes;medical robotics;medical signal processing;mixture models;motion control;regression analysis;trajectory control;wavelet transforms;online subject-independent modeling;sEMG signals;single robot joint motion;robotic devices;physiological human signals;robotic platform;multiuser interface;robot motion trajectory;regression technique;Gaussian mixture model;GMM;surface electromyography;wavelet transform;simulated hand robot;humanoid robot;human motion remapping;Electromyography;Robots;Wavelet transforms;Data models;Training;Adaptation models",
    	doi = "10.1109/BIOROB.2016.7523780",
    	issn = "2155-1782",
    	month = "June"
    }
    
  6. N Castaman, E Tosello and E Pagello. A Sampling-Based Tree Planner for Navigation Among Movable Obstacles. In Proceedings of ISR 2016: 47st International Symposium on Robotics (). June 2016, 1-8. DOI BibTeX

    @inproceedings{7559130,
    	author = "N. Castaman and E. Tosello and E. Pagello",
    	booktitle = "Proceedings of ISR 2016: 47st International Symposium on Robotics",
    	title = "A Sampling-Based Tree Planner for Navigation Among Movable Obstacles",
    	year = 2016,
    	volume = "",
    	number = "",
    	pages = "1-8",
    	keywords = "",
    	doi = "",
    	issn = "",
    	month = "June"
    }
    
  7. Marco Carraro, Matteo Munaro and Emanuele Menegatti. Cost-efficient RGB-D smart camera for people detection and tracking. Journal of Electronic Imaging 25:041007, April 2016. DOI BibTeX

    @article{article0,
    	author = "Carraro, Marco and Munaro, Matteo and Menegatti, Emanuele",
    	doi = "10.1117/1.JEI.25.4.041007",
    	journal = "Journal of Electronic Imaging",
    	month = 04,
    	pages = 041007,
    	title = "Cost-efficient RGB-D smart camera for people detection and tracking",
    	volume = 25,
    	year = 2016,
    	bdsk-url-1 = "http://dx.doi.org/10.1117/1.JEI.25.4.041007"
    }
    
  8. Filippo Basso, Riccardo Levorato, Matteo Munaro and Emanuele Menegatti. A Distributed Calibration Algorithm for Color and Range Camera Networks. Volume 625, February 2016. DOI BibTeX

    @inbook{inbook1,
    	author = "Basso, Filippo and Levorato, Riccardo and Munaro, Matteo and Menegatti, Emanuele",
    	doi = "10.1007/978-3-319-26054-9_16",
    	month = 02,
    	title = "A Distributed Calibration Algorithm for Color and Range Camera Networks",
    	volume = 625,
    	year = 2016,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-26054-9_16"
    }
    
  9. Stefano Michieletto, Francesca Stival, Francesco Castelli and Enrico Pagello. Teaching door abembly tasks in uncertain environment. In 47th International Symposium on Robotics, ISR 2016. 2016, 638–644. BibTeX

    @conference{11577_3256688,
    	abstract = "The paper describes our experience in the benchmarking phase of the European Robotics Challenges project. The main focus is on the original solution proposed for solving a door assembly task. The proposal has to deal with tolerances in the door and module positions, never seen before doors, fast and usable human-machine interfaces, legacy hardware in industrial scenarios, and valuable results in benchmarking activities.",
    	author = "Michieletto, Stefano and Stival, Francesca and Castelli, Francesco and Pagello, Enrico",
    	booktitle = "47th International Symposium on Robotics, ISR 2016",
    	keywords = "Artificial Intelligence; Human-Computer Interactio",
    	pages = "638--644",
    	publisher = "VDE Verlag GmbH",
    	title = "{Teaching door abembly tasks in uncertain environment}",
    	year = 2016
    }
    
  10. Francesca Stival, Stefano Michieletto and Enrico Pagello. Online subject-independent modeling of sEMG signals for the motion of a single robot joint. In Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics 2016-July. 2016, 1110–1116. DOI BibTeX

    @inproceedings{Stival2016,
    	author = "Stival, Francesca and Michieletto, Stefano and Pagello, Enrico",
    	booktitle = "Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics",
    	doi = "10.1109/BIOROB.2016.7523780",
    	isbn = 9781509032877,
    	issn = 21551774,
    	pages = "1110--1116",
    	title = "{Online subject-independent modeling of sEMG signals for the motion of a single robot joint}",
    	volume = "2016-July",
    	year = 2016
    }
    
  11. Elisa Tosello, Stefano Michieletto and Enrico Pagello. Training master students to program both virtual and real autonomous robots in a teaching laboratory. In IEEE Global Engineering Education Conference, EDUCON 10-13-Apri. 2016, 621–630. DOI BibTeX

    @inproceedings{Tosello2016,
    	author = "Tosello, Elisa and Michieletto, Stefano and Pagello, Enrico",
    	booktitle = "IEEE Global Engineering Education Conference, EDUCON",
    	doi = "10.1109/EDUCON.2016.7474615",
    	isbn = 9781467386333,
    	issn = 21659567,
    	keywords = "Aldebaran NAO,Constructivism,Educational Robotics,Humanoid,Lego Mindstorms NXT,Project-Based Learning,ROS,Vstone Robovie-X",
    	pages = "621--630",
    	title = "{Training master students to program both virtual and real autonomous robots in a teaching laboratory}",
    	volume = "10-13-Apri",
    	year = 2016
    }
    
  12. Stefano Michieletto, Elisa Tosello, Enrico Pagello and Emanuele Menegatti. Teaching humanoid robotics by means of human teleoperation through RGB-D sensors. Robotics and Autonomous Systems 75:671–678, 2016. DOI BibTeX

    @article{Michieletto2016,
    	abstract = "This paper presents a graduate course project on humanoid robotics offered by the University of Padova. The target is to safely lift an object by teleoperating a small humanoid. Students have to map human limbs into robot joints, guarantee the robot stability during the motion, and teleoperate the robot to perform the correct movement. We introduce the following innovative aspects with respect to classical robotic classes: i) the use of humanoid robots as teaching tools; ii) the simplification of the stable locomotion problem by exploiting the potential of teleoperation; iii) the adoption of a Project-Based Learning constructivist approach as teaching methodology. The learning objectives of both course and project are introduced and compared with the students' background. Design and constraints students have to deal with are reported, together with the amount of time they and their instructors dedicated to solve tasks. A set of evaluation results are provided in order to validate the authors' purpose, including the students' personal feedback. A discussion about possible future improvements is reported, hoping to encourage further spread of educational robotics in schools at all levels.",
    	author = "Michieletto, Stefano and Tosello, Elisa and Pagello, Enrico and Menegatti, Emanuele",
    	doi = "10.1016/j.robot.2015.09.023",
    	isbn = "0921-8890",
    	issn = 09218890,
    	journal = "Robotics and Autonomous Systems",
    	keywords = "Constructivism,Educational robotics,Humanoid,Kinect,NAO,Project-Based Learning,ROS,Robovie-X,Teleoperation",
    	pages = "671--678",
    	title = "{Teaching humanoid robotics by means of human teleoperation through RGB-D sensors}",
    	volume = 75,
    	year = 2016
    }
    
  13. Roberto Bortoletto, Stefano Michieletto, Enrico Pagello and Davide Piovesan. Human muscle-tendon stiffness estimation during normal gait cycle based on Gaussian mixture model. In Advances in Intelligent Systems and Computing 302. 2016, 1185–1197. DOI BibTeX

    @inproceedings{Bortoletto2016,
    	author = "Bortoletto, Roberto and Michieletto, Stefano and Pagello, Enrico and Piovesan, Davide",
    	booktitle = "Advances in Intelligent Systems and Computing",
    	doi = "10.1007/978-3-319-08338-4_86",
    	isbn = 9783319083377,
    	issn = 21945357,
    	keywords = "Gait cycle,Gaussian mixture model,Muscle stiffness",
    	pages = "1185--1197",
    	title = "{Human muscle-tendon stiffness estimation during normal gait cycle based on Gaussian mixture model}",
    	volume = 302,
    	year = 2016
    }
    
  14. Stefano Michieletto, Francesca Stival, Francesco Castelli and Enrico Pagello. Automated and Flexible Coil Winding Robotic Framework. In ISR 2018; 50th International Symposium on Robotics. 2016, 1–4. BibTeX

    @inproceedings{michieletto2016automated,
    	title = "Automated and Flexible Coil Winding Robotic Framework",
    	author = "Michieletto, Stefano and Stival, Francesca and Castelli, Francesco and Pagello, Enrico",
    	booktitle = "ISR 2018; 50th International Symposium on Robotics",
    	pages = "1--4",
    	year = 2016,
    	organization = "VDE"
    }
    
  15. Matteo Munaro, Radu Rusu and Emanuele Menegatti. 3D robot perception with Point Cloud Library. Robotics and Autonomous Systems 78, January 2016. DOI BibTeX

    @article{article1,
    	author = "Munaro, Matteo and Rusu, Radu and Menegatti, Emanuele",
    	doi = "10.1016/j.robot.2015.12.008",
    	journal = "Robotics and Autonomous Systems",
    	month = 01,
    	title = "3D robot perception with Point Cloud Library",
    	volume = 78,
    	year = 2016,
    	bdsk-url-1 = "http://dx.doi.org/10.1016/j.robot.2015.12.008"
    }
    
  16. Matteo Munaro, Filippo Basso and Emanuele Menegatti. OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks. Robotics and Autonomous Systems 75, November 2015. DOI BibTeX

    @article{article2,
    	author = "Munaro, Matteo and Basso, Filippo and Menegatti, Emanuele",
    	doi = "10.1016/j.robot.2015.10.004",
    	journal = "Robotics and Autonomous Systems",
    	month = 11,
    	title = "OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks",
    	volume = 75,
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.1016/j.robot.2015.10.004"
    }
    
  17. A Bisson, Stefano Michieletto, V Ferrara, Fabrizio Romanelli and Emanuele Menegatti. An intuitive teleoperation of industrial robots: Approach manipulators by using visual tracking over a distributed system. pages 243-261, January 2015. DOI BibTeX

    @inbook{inbook0,
    	author = "Bisson, A and Michieletto, Stefano and Ferrara, V and Romanelli, Fabrizio and Menegatti, Emanuele",
    	doi = "10.4018/978-1-4666-8693-9.ch009",
    	month = 01,
    	pages = "243-261",
    	title = "An intuitive teleoperation of industrial robots: Approach manipulators by using visual tracking over a distributed system",
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.4018/978-1-4666-8693-9.ch009"
    }
    
  18. Morris Antonello, Matteo Munaro and Emanuele Menegatti. Efficient Measurement of Fibre Orientation for Mapping Carbon Fibre Parts with a Robotic System. July 2014. BibTeX

    @inproceedings{inproceedings1,
    	author = "Antonello, Morris and Munaro, Matteo and Menegatti, Emanuele",
    	month = 07,
    	title = "Efficient Measurement of Fibre Orientation for Mapping Carbon Fibre Parts with a Robotic System",
    	year = 2014
    }
    


2015

  1. Riccardo Valentini, Stefano Michieletto, Federico Toffano, Fabiola Spolaor, Zimi Sawacha and Enrico Pagello. EMG signal analysis for online estimation of a joint angle validated through human kinematic. September 2015, S13-S14. DOI BibTeX

    @inproceedings{article3,
    	author = "Valentini, Riccardo and Michieletto, Stefano and Toffano, Federico and Spolaor, Fabiola and Sawacha, Zimi and Pagello, Enrico",
    	doi = "10.1016/j.gaitpost.2015.07.034",
    	journal = "Gait & Posture",
    	month = 09,
    	pages = "S13-S14",
    	title = "EMG signal analysis for online estimation of a joint angle validated through human kinematic",
    	volume = 42,
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.1016/j.gaitpost.2015.07.034"
    }
    
  2. Matteo Munaro, Edmond Wai Yan So, Stefano Tonello and Emanuele Menegatti. Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System. Advances in Computer Vision and Pattern Recognition 48:201-225, September 2015. DOI BibTeX

    @article{article1,
    	author = "Munaro, Matteo and Wai Yan So, Edmond and Tonello, Stefano and Menegatti, Emanuele",
    	doi = "10.1007/978-1-4471-6741-9_7",
    	journal = "Advances in Computer Vision and Pattern Recognition",
    	month = 09,
    	pages = "201-225",
    	title = "Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System",
    	volume = 48,
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-1-4471-6741-9_7"
    }
    
  3. M Antonello, S Ghidoni and E Menegatti. Autonomous robotic system for thermographic detection of defects in upper layers of carbon fiber reinforced polymers. In 2015 IEEE International Conference on Automation Science and Engineering (CASE) (). August 2015, 634-639. DOI BibTeX

    @inproceedings{7294149,
    	author = "M. Antonello and S. Ghidoni and E. Menegatti",
    	booktitle = "2015 IEEE International Conference on Automation Science and Engineering (CASE)",
    	title = "Autonomous robotic system for thermographic detection of defects in upper layers of carbon fiber reinforced polymers",
    	year = 2015,
    	volume = "",
    	number = "",
    	pages = "634-639",
    	keywords = "blades;carbon fibre reinforced plastics;infrared imaging;robots;autonomous robotic system;thermographic defect detection;carbon fiber reinforced polymers;pulsed phase thermography;car side blades;unsharp masking;Carbon;Brightness;Cameras;Bonding;Noise;Robot vision systems",
    	doi = "10.1109/CoASE.2015.7294149",
    	issn = "2161-8070",
    	month = "Aug"
    }
    
  4. Loris Nanni, Matteo Munaro, Stefano Ghidoni, Emanuele Menegatti and Sheryl Brahnam. Ensemble of Different Approaches for a Reliable Person Re-identification System. Applied Computing and Informatics 24, March 2015. DOI BibTeX

    @article{article0,
    	author = "Nanni, Loris and Munaro, Matteo and Ghidoni, Stefano and Menegatti, Emanuele and Brahnam, Sheryl",
    	doi = "10.1016/j.aci.2015.02.002",
    	journal = "Applied Computing and Informatics",
    	month = 03,
    	title = "Ensemble of Different Approaches for a Reliable Person Re-identification System",
    	volume = 24,
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.1016/j.aci.2015.02.002"
    }
    
  5. Riccardo Valentini, Stefano Michieletto, Fabiola Spolaor, Zimi Sawacha and Enrico Pagello. Processing of sEMG signals for online motion of a single robot joint through GMM modelization. In IEEE International Conference on Rehabilitation Robotics 2015-Septe. 2015, 943–949. DOI BibTeX

    @inproceedings{Valentini2015,
    	abstract = "This paper evaluates the use of Gaussian Mixture Model (GMM) trained through Electromyography (EMG) signals to online estimate the bending angle of a single human joint. The parameters involved in the evaluation are the number of Gaussian components, the channel used for model, the feature extraction method, and the size of the training set. The feature extraction is performed through Wavelet Transform by investigating several kind of configuration. Two set of experimental data are collected to validate the proposed framework from 6 different healthy subjects. Trained GMMs are validated by comparing the joint angle estimated through Gaussian Mixture Regression (GMR) with the one measured on new unseen data. The goodness of the estimated date are evaluated by means of Normalized Mean Square Error (NMSE), while the time performances of the retrieval system are measured at each phase in order to analyze possible critical situations. Achieved results show that our framework is able to obtain high performances in both accuracy and computation time. The whole procedure is tested on a real humanoid robot by remapping the human motion to the robotic platform in order to verify the proper execution of the original movement.",
    	author = "Valentini, Riccardo and Michieletto, Stefano and Spolaor, Fabiola and Sawacha, Zimi and Pagello, Enrico",
    	booktitle = "IEEE International Conference on Rehabilitation Robotics",
    	doi = "10.1109/ICORR.2015.7281325",
    	isbn = 9781479918072,
    	issn = 19457901,
    	pages = "943--949",
    	title = "{Processing of sEMG signals for online motion of a single robot joint through GMM modelization}",
    	volume = "2015-Septe",
    	year = 2015
    }
    
  6. Francesca Stival, Stefano Michieletto and Enrico Pagello. Subject-Independent Modeling of sEMG Signals for the Motion of a Single Robot Joint. In Workshop of Robotics: Science and Systems 2015 on Combining AI Reasoning and Cognitive Science with Robotics. 2015. URL BibTeX

    @conference{11577_3168471,
    	author = "Stival, Francesca and Michieletto, Stefano and Pagello, Enrico",
    	booktitle = "Workshop of Robotics: Science and Systems 2015 on Combining AI Reasoning and Cognitive Science with Robotics",
    	title = "{Subject-Independent Modeling of sEMG Signals for the Motion of a Single Robot Joint}",
    	url = "http://cogrobo.sabanciuniv.edu/wp-content/uploads/AI-CogSci-Robo{\_}2015{\_}poster{\_}1.pdf",
    	year = 2015
    }
    
  7. A Bisson, Stefano Michieletto, V Ferrara, Fabrizio Romanelli and Emanuele Menegatti. An intuitive teleoperation of industrial robots: Approach manipulators by using visual tracking over a distributed system. pages 243-261, January 2015. DOI BibTeX

    @inbook{article4,
    	author = "Bisson, A and Michieletto, Stefano and Ferrara, V and Romanelli, Fabrizio and Menegatti, Emanuele",
    	doi = "10.4018/978-1-4666-8693-9.ch009",
    	month = 01,
    	pages = "243-261",
    	title = "An intuitive teleoperation of industrial robots: Approach manipulators by using visual tracking over a distributed system",
    	year = 2015,
    	bdsk-url-1 = "http://dx.doi.org/10.4018/978-1-4666-8693-9.ch009"
    }
    
  8. Matteo Comin and Morris Antonello. Fast Alignment-free Comparison for Regulatory Sequences using Multiple Resolution Entropic Profiles. In BIOINFORMATICS. 2015. BibTeX

    @inproceedings{Comin2015FastAC,
    	title = "Fast Alignment-free Comparison for Regulatory Sequences using Multiple Resolution Entropic Profiles",
    	author = "Matteo Comin and Morris Antonello",
    	booktitle = "BIOINFORMATICS",
    	year = 2015
    }
    
  9. Marco Carraro, Morris Antonello, Luca Tonin and Emanuele Menegatti. An Open Source Robotic Platform for Ambient Assisted Living. In AIRO@AI*IA. 2015. BibTeX

    @inproceedings{Carraro2015AnOS,
    	title = "An Open Source Robotic Platform for Ambient Assisted Living",
    	author = "Marco Carraro and Morris Antonello and Luca Tonin and Emanuele Menegatti",
    	booktitle = "AIRO@AI*IA",
    	year = 2015
    }
    
  10. Matteo Lora, Stefano Ghidoni, Matteo Munaro and Emanuele Menegatti. A geometric approach to multiple viewpoint human body pose estimation. 2015 European Conference on Mobile Robots (ECMR), pages 1-6, 2015. BibTeX

    @article{Lora2015AGA,
    	title = "A geometric approach to multiple viewpoint human body pose estimation",
    	author = "Matteo Lora and Stefano Ghidoni and Matteo Munaro and Emanuele Menegatti",
    	journal = "2015 European Conference on Mobile Robots (ECMR)",
    	year = 2015,
    	pages = "1-6"
    }
    
  11. S Zennaro, Matteo Munaro, Simone Milani, Pietro Zanuttigh, A Bernardi, Stefano Ghidoni and Emanuele Menegatti. Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications. 2015 IEEE International Conference on Multimedia and Expo (ICME), pages 1-6, 2015. BibTeX

    @article{Zennaro2015PerformanceEO,
    	title = "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications",
    	author = "S. Zennaro and Matteo Munaro and Simone Milani and Pietro Zanuttigh and A. Bernardi and Stefano Ghidoni and Emanuele Menegatti",
    	journal = "2015 IEEE International Conference on Multimedia and Expo (ICME)",
    	year = 2015,
    	pages = "1-6"
    }
    


2014

  1. Matteo Munaro and Emanuele Menegatti. Fast RGB-D people tracking for service robots. Autonomous Robots 37(3):227–242, October 2014. URL, DOI BibTeX

    @article{Munaro2014_2,
    	author = "Munaro, Matteo and Menegatti, Emanuele",
    	title = "Fast RGB-D people tracking for service robots",
    	journal = "Autonomous Robots",
    	year = 2014,
    	month = "Oct",
    	day = 01,
    	volume = 37,
    	number = 3,
    	pages = "227--242",
    	abstract = "Service robots have to robustly follow and interact with humans. In this paper, we propose a very fast multi-people tracking algorithm designed to be applied on mobile service robots. Our approach exploits RGB-D data and can run in real-time at very high frame rate on a standard laptop without the need for a GPU implementation. It also features a novel depth-based sub-clustering method which allows to detect people within groups or even standing near walls. Moreover, for limiting drifts and track ID switches, an online learning appearance classifier is proposed featuring a three-term joint likelihood. We compared the performances of our system with a number of state-of-the-art tracking algorithms on two public datasets acquired with three static Kinects and a moving stereo pair, respectively. In order to validate the 3D accuracy of our system, we created a new dataset in which RGB-D data are acquired by a moving robot. We made publicly available this dataset which is not only annotated by hand, but the ground-truth position of people and robot are acquired with a motion capture system in order to evaluate tracking accuracy and precision in 3D coordinates. Results of experiments on these datasets are presented, showing that, even without the need for a GPU, our approach achieves state-of-the-art accuracy and superior speed.",
    	issn = "1573-7527",
    	doi = "10.1007/s10514-014-9385-0",
    	url = "https://doi.org/10.1007/s10514-014-9385-0"
    }
    
  2. Nicolo Boscolo, Elisa Tosello, Stefano Tonello, Matteo Finotto, Roberto Bortoletto and Emanuele Menegatti. A Constraint Based Motion Optimization System for Quality Inspection Process Improvement. October 2014. DOI BibTeX

    @inproceedings{Constraint,
    	author = "Boscolo, Nicolo and Tosello, Elisa and Tonello, Stefano and Finotto, Matteo and Bortoletto, Roberto and Menegatti, Emanuele",
    	doi = "10.1007/978-3-319-11900-7_46",
    	month = 10,
    	title = "A Constraint Based Motion Optimization System for Quality Inspection Process Improvement",
    	year = 2014,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-11900-7_46"
    }
    
  3. Roberto Bortoletto, Enrico Pagello and D Piovesan. Lower Limb Stiffness Estimation during Running: The Effect of Using Kinematic Constraints in Muscle Force Optimization Algorithms. October 2014. DOI BibTeX

    @inproceedings{limbs,
    	author = "Bortoletto, Roberto and Pagello, Enrico and Piovesan, D",
    	doi = "10.1007/978-3-319-11900-7_31",
    	month = 10,
    	title = "Lower Limb Stiffness Estimation during Running: The Effect of Using Kinematic Constraints in Muscle Force Optimization Algorithms",
    	volume = 8810,
    	year = 2014,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-11900-7_31"
    }
    
  4. Riccardo Levorato. Probabilistic 2D Acoustic Source Localization Using Direction of Arrivals in Robot Sensor Networks. October 2014. DOI BibTeX

    @inproceedings{Acoustic,
    	author = "Levorato, Riccardo",
    	doi = "10.1007/978-3-319-11900-7_40",
    	month = 10,
    	title = "Probabilistic 2D Acoustic Source Localization Using Direction of Arrivals in Robot Sensor Networks",
    	year = 2014,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-11900-7_40"
    }
    
  5. Matteo Munaro, Morris Antonello, Michele Moro, Carlo Ferrari, Giorgio Clemente, Enrico Pagello and Emanuele Menegatti. FibreMap: Automatic Mapping of Fibre Orientation for Draping of Carbon Fibre Parts. July 2014, . BibTeX

    @inproceedings{FiberMap,
    	author = "Munaro, Matteo and Antonello, Morris and Moro, Michele and Ferrari, Carlo and Clemente, Giorgio and Pagello, Enrico and Menegatti, Emanuele",
    	year = 2014,
    	month = 07,
    	pages = "",
    	title = "FibreMap: Automatic Mapping of Fibre Orientation for Draping of Carbon Fibre Parts"
    }
    
  6. Zhengjie Fan, Elisa Tosello, Michele Palmia and Enrico Pagello. Applying Semantic Web Technologies to Multi-Robot Coordination. July 2014. BibTeX

    @inproceedings{Zhengiie,
    	author = "Fan, Zhengjie and Tosello, Elisa and Palmia, Michele and Pagello, Enrico",
    	month = 07,
    	title = "Applying Semantic Web Technologies to Multi-Robot Coordination",
    	year = 2014
    }
    
  7. Stefano Michieletto, Luca Tonin, Mauro Antonello, Roberto Bortoletto, Fabiola Spolaor, Enrico Pagello and Emanuele Menegatti. GMM-based Single-joint Angle Estimation using EMG signals. July 2014. DOI BibTeX

    @inproceedings{single,
    	author = "Michieletto, Stefano and Tonin, Luca and Antonello, Mauro and Bortoletto, Roberto and Spolaor, Fabiola and Pagello, Enrico and Menegatti, Emanuele",
    	doi = "10.1007/978-3-319-08338-4_85",
    	month = 07,
    	title = "GMM-based Single-joint Angle Estimation using EMG signals",
    	volume = 302,
    	year = 2014,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-08338-4_85"
    }
    
  8. Roberto Bortoletto, Enrico Pagello and D Piovesan. How different human muscle models affect the estimation of lower limb joint stiffness during running. July 2014. BibTeX

    @inproceedings{Limbs2,
    	author = "Bortoletto, Roberto and Pagello, Enrico and Piovesan, D",
    	month = 07,
    	title = "How different human muscle models affect the estimation of lower limb joint stiffness during running",
    	year = 2014
    }
    
  9. Roberto Bortoletto, Stefano Michieletto, Enrico Pagello and D Piovesan. Human Muscle-Tendon Stiffness Estimation During Normal Gait Cycle Based on Gaussian Mixture Model. Volume 302, pages pp 1185-1197, July 2014. DOI BibTeX

    @inbook{BUBU,
    	author = "Bortoletto, Roberto and Michieletto, Stefano and Pagello, Enrico and Piovesan, D",
    	doi = "10.1007/978-3-319-08338-4_86",
    	month = 07,
    	pages = "pp 1185-1197",
    	title = "Human Muscle-Tendon Stiffness Estimation During Normal Gait Cycle Based on Gaussian Mixture Model",
    	volume = 302,
    	year = 2014,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-319-08338-4_86"
    }
    
  10. Filippo Basso, Riccardo Levorato and Emanuele Menegatti. Online Calibration for Networks of Cameras and Depth Sensors. June 2014. BibTeX

    @inproceedings{Calibration,
    	author = "Basso, Filippo and Levorato, Riccardo and Menegatti, Emanuele",
    	journal = "OMNIVIS 2014",
    	month = 06,
    	title = "Online Calibration for Networks of Cameras and Depth Sensors",
    	year = 2014
    }
    
  11. M Munaro, S Ghidoni, D T Dizmen and E Menegatti. A feature-based approach to people re-identification using skeleton keypoints. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (). May 2014, 5644-5651. DOI BibTeX

    @inproceedings{6907689,
    	author = "M. Munaro and S. Ghidoni and D. T. Dizmen and E. Menegatti",
    	booktitle = "2014 IEEE International Conference on Robotics and Automation (ICRA)",
    	title = "A feature-based approach to people re-identification using skeleton keypoints",
    	year = 2014,
    	volume = "",
    	number = "",
    	pages = "5644-5651",
    	keywords = "image colour analysis;image recognition;image resolution;mobile robots;video surveillance;feature-based approach;people re-identification;skeleton keypoints;skeletal information;skeleton joints;compact feature-based signature;visible joint;state-of-the-art 2D feature descriptor;3D feature descriptor;public datasets;RGB-D sensor;public video surveillance dataset;resolution images;recognition accuracy;mobile robotics;Joints;Three-dimensional displays;Target tracking;Robots;Testing;Training",
    	doi = "10.1109/ICRA.2014.6907689",
    	issn = "1050-4729",
    	month = "May"
    }
    
  12. M Munaro, A Basso, A Fossati, Van L Gool and E Menegatti. 3D reconstruction of freely moving persons for re-identification with a depth sensor. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (). May 2014, 4512-4519. DOI BibTeX

    @inproceedings{6907518,
    	author = "M. Munaro and A. Basso and A. Fossati and L. Van Gool and E. Menegatti",
    	booktitle = "2014 IEEE International Conference on Robotics and Automation (ICRA)",
    	title = "3D reconstruction of freely moving persons for re-identification with a depth sensor",
    	year = 2014,
    	volume = "",
    	number = "",
    	pages = "4512-4519",
    	keywords = "bone;cameras;image classification;image colour analysis;image sensors;object tracking;orthopaedics;RGB-D reidentification;skeleton feature descriptor;warped point cloud;skeletal tracking algorithm;long-term person reidentification;consumer depth sensor;3D freely moving person reconstruction;Three-dimensional displays;Training;Standards;Joints;Shape;Solid modeling",
    	doi = "10.1109/ICRA.2014.6907518",
    	issn = "1050-4729",
    	month = "May"
    }
    
  13. F Basso, A Pretto and E Menegatti. Unsupervised intrinsic and extrinsic calibration of a camera-depth sensor couple. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (). May 2014, 6244-6249. DOI BibTeX

    @inproceedings{6907780,
    	author = "F. Basso and A. Pretto and E. Menegatti",
    	booktitle = "2014 IEEE International Conference on Robotics and Automation (ICRA)",
    	title = "Unsupervised intrinsic and extrinsic calibration of a camera-depth sensor couple",
    	year = 2014,
    	volume = "",
    	number = "",
    	pages = "6244-6249",
    	keywords = "calibration;cameras;estimation theory;image sensors;parameter estimation;reliability;unsupervised intrinsic calibration;unsupervised extrinsic calibration;camera-depth sensor couple;availability;RGB camera;Microsoft Kinect;robot;extrinsic parameter estimation;intrinsic parameter estimation;3D structure estimation;Robot sensing systems;Calibration;Three-dimensional displays;Cameras;Estimation;Systematics",
    	doi = "10.1109/ICRA.2014.6907780",
    	issn = "1050-4729",
    	month = "May"
    }
    
  14. Tosello Elisa, Bortoletto Roberto, Michieletto Stefano, Pagello Enrico and Menegatti Emanuele. An Integrated System to approach the Programming of Humanoid Robotics. In Proc. of Workshops of 13th Intelligent Autonomous Systems Conference. 2014, 93–100. URL BibTeX

    @conference{11577_2835795,
    	abstract = "This paper describes a set of laboratory experiences focused on humanoid robots offered at the University of Padua. Instructors developed an integrated system through which students can work with robots. The aim is to improve the educational experience introducing a new learning tool, namely a humanoid robot, and the Robots Operating System (ROS) in a constructivist framework. This approach to robotics teaching lets students exploiting up-to-date robotic technologies and to deal with multidisciplinary problems, applying a scientic approach. By using humanoid robots, students are able to compare human movements to robot motion. The comparison brings out human/robot similarities, pushing students to solve complex motion problems in a more natural way while discovering robot limitations. In this paper, the learning objectives of the project, and the tools used by the students are presented. A set of evaluation results are provided in order to validate the authors' purpose. Finally, a discussion about designed experiences and possible future improvements is reported, hoping to encourage further spread of educational robotics in schools at all levels.",
    	author = "Elisa, Tosello and Roberto, Bortoletto and Stefano, Michieletto and Enrico, Pagello and Emanuele, Menegatti",
    	booktitle = "Proc. of Workshops of 13th Intelligent Autonomous Systems Conference",
    	keywords = "Simulation; Humanoid Robots; Teaching Robotics; RO",
    	pages = "93--100",
    	publisher = "IT+Robotics srl",
    	title = "{An Integrated System to approach the Programming of Humanoid Robotics}",
    	url = "http://www.terecop.eu/TRTWR-RIE2014/files/00{\_}WFr1/00{\_}WFr1{\_}12.pdf",
    	year = 2014
    }
    
  15. Michieletto Stefano, Tosello Elisa, Romanelli Fabrizio, Ferrara Valentina and Menegatti Emanuele. ROS-I Interface for COMAU Robots. In Simulation, Modeling, and Programming for Autonomous Robots 8810. 2014, 243–254. DOI BibTeX

    @conference{11577_3156335,
    	abstract = "The following paper presents the ROS-I interface developed to control Comau manipulators. Initially, the Comau controller allowed users to command a real robot thanks to motion primitives formulated through a Comau motion planning library. Now, either a ROS or a non ROS -compliant platform can move either a real or a virtual Comau robot using any motion planning library. Comau modules have been wrapped within ROS and a virtual model of a Comau robot has been created. The manufacturer controller has been innovatively used to drive both the real and the simulated automata.",
    	author = "Stefano, Michieletto and Elisa, Tosello and Fabrizio, Romanelli and Valentina, Ferrara and Emanuele, Menegatti",
    	booktitle = "Simulation, Modeling, and Programming for Autonomous Robots",
    	doi = "10.1007/978-3-319-11900-7_21",
    	pages = "243--254",
    	publisher = "Davide Brugali, Jan F. Broenink, Torsten Kroeger, Bruce A. MacDonald",
    	title = "{ROS-I Interface for COMAU Robots}",
    	volume = 8810,
    	year = 2014
    }
    
  16. Stefano Ghidoni, Salvatore M Anzalone, Matteo Munaro, Stefano Michieletto and Emanuele Menegatti. A distributed perception infrastructure for robot assisted living. Robotics and Autonomous Systems 62(9):1316–1328, 2014. DOI BibTeX

    @article{Ghidoni2014,
    	abstract = "This paper presents an ambient intelligence system designed for assisted living. The system processes the audio and video data acquired from multiple sensors spread in the environment to automatically detect dangerous events and generate automatic warning messages. The paper presents the distributed perception infrastructure that has been implemented by means of an open-source software middleware called NMM. Different processing nodes have been developed which can cooperate to extract high level information about the environment. Examples of implemented nodes running algorithms for people detection or face recognition are presented. Experiments on novel algorithms for people fall detection and sound classification and localization are discussed. Eventually, we present successful experiments in two test bed scenarios. {\textcopyright} 2014 Elsevier B.V. All rights reserved.",
    	author = "Ghidoni, Stefano and Anzalone, Salvatore M. and Munaro, Matteo and Michieletto, Stefano and Menegatti, Emanuele",
    	doi = "10.1016/j.robot.2014.03.022",
    	issn = 09218890,
    	journal = "Robotics and Autonomous Systems",
    	keywords = "Ambient intelligence,Assisted living,Autonomous robots,Camera network,Distributed sensing,Intelligent autonomous systems",
    	number = 9,
    	pages = "1316--1328",
    	title = "{A distributed perception infrastructure for robot assisted living}",
    	volume = 62,
    	year = 2014
    }
    
  17. Stefano Michieletto, Stefano Ghidoni, Enrico Pagello, Michele Moro and Emanuele Menegatti. WHY TEACH ROBOTICS USING ROS?. Journal of Automation, Mobile Robotics & Intelligent Systems 8(1):60–68, 2014. URL BibTeX

    @article{Michieletto2014,
    	abstract = "This paper focuses on the key role played by the adoption of a framework in teaching robotics with a computer science approach in the master in Computer Engineering. The framework adopted is the Robot Operating System (ROS), which is becoming a standard de facto inside the robotics community. The educational activities proposed in this paper are based on a constructionist approach. The Mindstorms NXT robot kit is adopted to trigger the learning challenge. The ROS framework is exploited to drive the students programming methodology during the laboratory activities and to allow students to exercise with the major computer programming paradigms and the best programming practices. The major robotics topics students are involved with are: acquiring data from sensors, connecting sensors to the robot, and navigate the robot to reach the final goal. The positive effects given by this approach are highlighted in this paper by comparing the work recently produced by students with the work produced in the previous years in which ROS was not yet adopted and many different software tools and languages were used. The results of a questionnaire are reported showing that we achieved the didactical objectives we expected as instructors. [ABSTRACT FROM AUTHOR]",
    	author = "Michieletto, Stefano and Ghidoni, Stefano and Pagello, Enrico and Moro, Michele and Menegatti, Emanuele",
    	issn = 18978649,
    	journal = "Journal of Automation, Mobile Robotics {\&} Intelligent Systems",
    	keywords = "COMPUTER engineering,COMPUTER programming,COMPUTER science,COMPUTER software,Educational robotics,LEGO NXT robot,ROBOTICS in education,ROS,teaching robotics",
    	number = 1,
    	pages = "60--68",
    	title = "{WHY TEACH ROBOTICS USING ROS?}",
    	url = "10.14313/JAMRIS{\_}1-2014/8{\%}5Cnhttp://search.ebscohost.com/login.aspx?direct=true{\&}db=a9h{\&}AN=94617426{\&}lang=es{\&}site=ehost-live",
    	volume = 8,
    	year = 2014
    }
    
  18. Tosello Elisa, Michieletto Stefano, Bisson Andrea and Pagello Enrico. A Learning from Demonstration Framework for Manipulation Tasks. In ISR/Robotik 2014; 41st International Symposium on Robotics; Proceedings of. 2014, 1–7. BibTeX

    @conference{11577_3156336,
    	abstract = "This paper presents a Robot Learning from Demonstration (RLfD) framework for teaching manipulation tasks in an industrial environment: the system is able to learn a task performed by a human demonstrator and reproduce it through a manipulator robot. An RGB-D sensor acquires the scene (human in action); a skeleton tracking algorithm extracts the useful information from the images acquired (positions and orientations of skeleton joints); and this information is given as input to the motion re-targeting system that remaps the skeleton joints into the manipulator ones. After the remapping, a model for the robot motion controller is retrieved by applying first a Gaussian Mixture Model (GMM) and then a Gaussian Mixture Regression (GMR) on the collected data. Two types of controller are modeled: a position controller and a velocity one. The former was presented in [10] inclusive of simulation tests, and here it has been upgraded extended the proves to a real robot. The latter is proposed for the first time in this work and tested both in simulation and with the real robot. Experiments were performed using a Comau Smart5 SiX manipulator robot and let to show a comparison between the two controllers starting from natural human demonstrations.",
    	author = "Elisa, Tosello and Stefano, Michieletto and Andrea, Bisson and Enrico, Pagello",
    	booktitle = "ISR/Robotik 2014; 41st International Symposium on Robotics; Proceedings of",
    	pages = "1--7",
    	title = "{A Learning from Demonstration Framework for Manipulation Tasks}",
    	year = 2014
    }
    
  19. G Pozzato, S Michieletto, E Menegatti, F Dominio, G Marin, L Minto, S Milani and P Zanuttigh. Human-Robot Interaction with Depth-Based Gesture Recognition. In Proceedings of Real-Time gesture recognition for human-robot interaction workshop. 2014, 379–383. BibTeX

    @conference{11577_2926699,
    	abstract = "Human robot interaction is a very heterogeneous research field and it is attracting a growing interest. A key building block for a proper interaction between humans and robots is the automatic recognition and interpretation of gestures performed by the user. Consumer depth cameras (like MS Kinect) have made possible an accurate and reliable interpretation of human gestures. In this paper a novel framework for gesture- based human-robot interaction is proposed. Both hand gestures and full-body gestures are recognized through the use of depth information, and a human-robot interaction scheme based on these gestures is proposed. In order to assess the feasibility of the proposed scheme, the paper presents a simple application based on the well-known rock-scissors-paper game.",
    	author = "Pozzato, G and Michieletto, S and Menegatti, E and Dominio, F and Marin, G and Minto, L and Milani, S and Zanuttigh, P",
    	booktitle = "Proceedings of Real-Time gesture recognition for human-robot interaction workshop",
    	pages = "379--383",
    	publisher = "IT+Robotics srl",
    	title = "{Human-Robot Interaction with Depth-Based Gesture Recognition}",
    	year = 2014
    }
    
  20. Shaogang Gong, Marco Cristani, Shuicheng Yan and Chen Change Loy (eds.). One-Shot Person Re-identification with a Consumer Depth Camera. pages 161–181, Springer London, 2014. URL, DOI BibTeX

    @inbook{Munaro2014,
    	author = "Munaro, Matteo and Fossati, Andrea and Basso, Alberto and Menegatti, Emanuele and Van Gool, Luc",
    	editor = "Gong, Shaogang and Cristani, Marco and Yan, Shuicheng and Loy, Chen Change",
    	title = "One-Shot Person Re-identification with a Consumer Depth Camera",
    	booktitle = "Person Re-Identification",
    	year = 2014,
    	publisher = "Springer London",
    	address = "London",
    	pages = "161--181",
    	abstract = "In this chapter, we propose a comparison between two techniques for one-shot person re-identification from soft biometric cues. One is based upon a descriptor composed of features provided by a skeleton estimation algorithm; the other compares body shapes in terms of whole point clouds. This second approach relies on a novel technique we propose to warp the subject's point cloud to a standard pose, which allows to disregard the problem of the different poses a person can assume. This technique is also used for composing 3D models which are then used at testing time for matching unseen point clouds. We test the proposed approaches on an existing RGB-D re-identification dataset and on the newly built BIWI RGBD-ID dataset. This dataset provides sequences of RGB, depth, and skeleton data for 50 people in two different scenarios and it has been made publicly available to foster advancement in this new research branch.",
    	isbn = "978-1-4471-6296-4",
    	doi = "10.1007/978-1-4471-6296-4_8",
    	url = "https://doi.org/10.1007/978-1-4471-6296-4_8"
    }
    
  21. Matteo Munaro, Alex Horn, Randy Illum, Jeff Burke and Radu Bogdan Rusu. OpenPTrack : People Tracking for Heterogeneous Networks of Color-Depth Cameras. 2014. BibTeX

    @inproceedings{Munaro2014OpenPTrackP,
    	title = "OpenPTrack : People Tracking for Heterogeneous Networks of Color-Depth Cameras",
    	author = "Matteo Munaro and Alex Horn and Randy Illum and Jeff Burke and Radu Bogdan Rusu",
    	year = 2014
    }
    
  22. Matteo Comin and Morris Antonello. Fast Entropic Profiler: An Information Theoretic Approach for the Discovery of Patterns in Genomes. IEEE/ACM Transactions on Computational Biology and Bioinformatics 11:500-509, 2014. BibTeX

    @article{Comin2014FastEP,
    	title = "Fast Entropic Profiler: An Information Theoretic Approach for the Discovery of Patterns in Genomes",
    	author = "Matteo Comin and Morris Antonello",
    	journal = "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
    	year = 2014,
    	volume = 11,
    	pages = "500-509"
    }
    
  23. Mauro Antonello, Alberto Pretto and Emanuele Menegatti. Fast incremental objects identification and localization using cross-correlation on a 6 DoF voting scheme. 2014 International Conference on Computer Graphics Theory and Applications (GRAPP), pages 1-6, 2014. BibTeX

    @article{Antonello2014FastIO,
    	title = "Fast incremental objects identification and localization using cross-correlation on a 6 DoF voting scheme",
    	author = "Mauro Antonello and Alberto Pretto and Emanuele Menegatti",
    	journal = "2014 International Conference on Computer Graphics Theory and Applications (GRAPP)",
    	year = 2014,
    	pages = "1-6"
    }
    
  24. David Tedaldi, Alberto Pretto and Emanuele Menegatti. A robust and easy to implement method for IMU calibration without external equipments. September 2013. DOI BibTeX

    @inproceedings{Robust,
    	author = "Tedaldi, David and Pretto, Alberto and Menegatti, Emanuele",
    	doi = "10.1109/ICRA.2014.6907297",
    	journal = "Proceedings - IEEE International Conference on Robotics and Automation",
    	month = 09,
    	title = "A robust and easy to implement method for IMU calibration without external equipments",
    	year = 2013,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/ICRA.2014.6907297"
    }
    


2013

  1. David Camacho, Sang-Wook Kim and Bogdan Trawiński (eds.). Calibration of Rotating 2D Laser Range Finder Using Circular Path on Plane Constraints. pages 155–163, Springer International Publishing, 2015. URL, DOI BibTeX

    @inbook{Kurnianggoro2015,
    	abstract = "Rotating a 2D laser range finder is a common way to obtain the 3D data of a scene.In the real system, the rotation axis is not always coincide with the sensor's axis. Due to this matter, it is important to know the rotation axis of a rotating 2D laser range finder system to obtains an accurate 3D measurement.In this paper, a method for determining the rotational axis and its relation to the sensor's position is presented. The rotational axis is approximated by analyzing the surface normal of several sensor's positions with different rotation angle.The sensor's positions are projected to the rotational plane to obtain a circular path. The circular path is approximated using a circular fitting method. A comprehensive analysis from a simulation system is presented in this paper to show the performance of the proposed calibration method.",
    	address = "Cham",
    	author = "Kurnianggoro, Laksono and Hoang, Van-Dung and Jo, Kang-Hyun",
    	booktitle = "New Trends in Computational Collective Intelligence",
    	doi = "10.1007/978-3-319-10774-5_15",
    	editor = "Camacho, David and Kim, Sang-Wook and Trawi{\'{n}}ski, Bogdan",
    	isbn = "978-3-319-10774-5",
    	pages = "155--163",
    	publisher = "Springer International Publishing",
    	title = "Calibration of Rotating 2D Laser Range Finder Using Circular Path on Plane Constraints",
    	url = "https://doi.org/10.1007/978-3-319-10774-5_15",
    	year = 2015,
    	bdsk-url-1 = "https://doi.org/10.1007/978-3-319-10774-5_15",
    	bdsk-url-2 = "http://dx.doi.org/10.1007/978-3-319-10774-5_15"
    }
    
  2. Francesco Ferrati, Roberto Bortoletto, Emanuele Menegatti and Enrico Pagello. Socio-economic impact of medical lower-limb Exoskeletons. November 2013. DOI BibTeX

    @inproceedings{arso,
    	author = "Ferrati, Francesco and Bortoletto, Roberto and Menegatti, Emanuele and Pagello, Enrico",
    	doi = "10.1109/ARSO.2013.6705500",
    	journal = "Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO",
    	month = 11,
    	title = "Socio-economic impact of medical lower-limb Exoskeletons",
    	year = 2013,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/ARSO.2013.6705500"
    }
    
  3. A Pretto, S Tonello and E Menegatti. Flexible 3D localization of planar objects for industrial bin-picking with monocamera vision system. In 2013 IEEE International Conference on Automation Science and Engineering (CASE) (). August 2013, 168-175. DOI BibTeX

    @inproceedings{6654067,
    	author = "A. Pretto and S. Tonello and E. Menegatti",
    	booktitle = "2013 IEEE International Conference on Automation Science and Engineering (CASE)",
    	title = "Flexible 3D localization of planar objects for industrial bin-picking with monocamera vision system",
    	year = 2013,
    	volume = "",
    	number = "",
    	pages = "168-175",
    	keywords = "CAD;cameras;control engineering computing;industrial robots;materials handling;object detection;pose estimation;production engineering computing;robot vision;flexible 3D localization;planar objects;industrial bin-picking;monocamera vision system;flexible vision system;industrial robots;conveyor belt;planar shape;2D image analysis;6 degrees-of-freedom pose;single camera solution;industrial 3D cameras;laser triangulation systems;laser range finders;localization algorithm;CAD data;computer aided design;localization software;candidates selection step;voting scheme;best match selection step;refinement step;robust iterative optimize-and-score procedure;search-in-the-stack strategy;production plants;Image edge detection;Cameras;Three-dimensional displays;Solid modeling;Search problems;Optimization;Feature extraction",
    	doi = "10.1109/CoASE.2013.6654067",
    	issn = "2161-8070",
    	month = "Aug"
    }
    
  4. Loris Nanni, Sheryl Brahnam, Stefano Ghidoni and Emanuele Menegatti. Automated crowd detection in stadium arenas. April 2013. BibTeX

    @inproceedings{crowd,
    	author = "Nanni, Loris and Brahnam, Sheryl and Ghidoni, Stefano and Menegatti, Emanuele",
    	month = 04,
    	title = "Automated crowd detection in stadium arenas",
    	year = 2013
    }
    
  5. Munaro Matteo, Ballin Gioia, Michieletto Stefano and Menegatti Emanuele. 3D flow estimation for human action recognition from colored point clouds. BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 5:42–51, 2013. URL, DOI BibTeX

    @article{11577_2668256,
    	abstract = "Motion perception and classification are key elements exploited by humans for recognizing actions. The same principles can serve as a basis for building cognitive architectures which can recognize human actions, thus enhancing challenging applications such as human robot interaction, visual surveillance, content-based video analysis and motion capture. In this paper, we propose an autonomous system for real-time human action recognition based on 3D motion flow estimation. We exploit colored point cloud data acquired with a Microsoft Kinect and we summarize the motion information by means of a 3D grid-based descriptor. Finally, temporal sequences of descriptors are classified with the Nearest Neighbor technique. We also present a newly created public dataset for RGB-D human action recognition which contains 15 actions performed by 12 different people. Our overall system is tested on this dataset and on the dataset used in Ballin, Munaro, and Menegatti (2012), showing the effectiveness of the proposed approach in recognizing about 90{\%} of the actions.",
    	author = "Matteo, Munaro and Gioia, Ballin and Stefano, Michieletto and Emanuele, Menegatti",
    	doi = "10.1016/j.bica.2013.05.008",
    	journal = "BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES",
    	keywords = "Action recognition; Colored point clouds; RGB-D da",
    	pages = "42--51",
    	publisher = "Elsevier Ltd",
    	title = "{3D flow estimation for human action recognition from colored point clouds}",
    	url = "http://www.sciencedirect.com/science/article/pii/S2212683X13000431",
    	volume = 5,
    	year = 2013
    }
    
  6. Munaro Matteo, Michieletto Stefano and Menegatti Emanuele. An evaluation of 3D motion flow and 3D pose estimation for human action recognition. In RSS Workshops: RGB-D: Advanced Reasoning with Depth Cameras.. 2013. URL BibTeX

    @conference{11577_2718093,
    	abstract = "Modern human action recognition algorithms which exploit 3D information mainly classify video sequences by extract- ing local or global features from the RGB-D domain or classifying the skeleton information provided by a skeletal tracker. In this paper, we propose a comparison between two techniques which share the same classification process, while differing in the type of descriptor which is classified. The former exploits an improved version of a recently proposed approach for 3D motion flow estimation from colored point clouds, while the latter relies on the estimated skeleton joints positions. We compare these methods on a newly created dataset for RGB-D human action recognition which contains 15 actions performed by 12 different people.",
    	author = "Matteo, Munaro and Stefano, Michieletto and Emanuele, Menegatti",
    	booktitle = "RSS Workshops: RGB-D: Advanced Reasoning with Depth Cameras.",
    	keywords = "service robotics; Action recognition; 3D motion fl",
    	title = "{An evaluation of 3D motion flow and 3D pose estimation for human action recognition}",
    	url = "http://www.cs.washington.edu/ai/Mobile{\_}Robotics/rgbd-workshop-2013/papers/Munaro{\_}et{\_}al.pdf",
    	year = 2013
    }
    
  7. Michieletto Stefano, Rizzi Alberto and Menegatti Emanuele. Robot learning by observing humans activities and modeling failures. In IROS workshops: Cognitive Robotics Systems (CRS2013). 2013. URL BibTeX

    @conference{11577_2717878,
    	abstract = "People needs are varied and different. Service robotics aims to help people to satisfy these needs, but not all the feasible programs can be preloaded into a robot. The robot have to learn new tasks depending on the circumstances. A solution to this challenge could be Robot Learning from Demonstration (RLfD). In this paper, a RLfD framework is described in its entire pipeline. The data are acquired from a low cost RGB-D sensor, so the user can act naturally with no need of additional hardware. The information are subsequently elaborated to adapt to the robot structure and modeled to overcome the differences between human and robot. Experiments are performed using input data coming from a publicly available dataset of human actions, and a humanoid robot, an Aldebaran NAO, is shown to successfully replicate an action based on human demonstrations and some further trials automatically generated from the learned model.",
    	author = "Stefano, Michieletto and Alberto, Rizzi and Emanuele, Menegatti",
    	booktitle = "IROS workshops: Cognitive Robotics Systems (CRS2013)",
    	keywords = "Robot Learning from Demonstration; RGB-D sensor; G",
    	title = "{Robot learning by observing humans activities and modeling failures}",
    	url = "http://crs2013.org/papers/Michieletto.pdf",
    	year = 2013
    }
    
  8. S Michieletto, S Ghidoni, E Pagello, M Moro and E Menegatti. Why teach robotics using ROS. In Proceedings of the 4th International Conference on Robotics in Education. 2013, 145–151. URL BibTeX

    @conference{11577_2836673,
    	abstract = "This paper focuses on the key role played by the adoption of a framework in teaching robotics with a computer science approach in the master in Computer Engineeering. The framework adopted is the Robot Operating System (ROS), which is becoming a standard de facto inside the robotics community. The educational activities proposed in this paper are based on a constructionist approach. The Mindstorms NXT robot kit is adopted to trigger the learning challenge. The ROS framework is exploited to drive the students programming methodology during the laboratory activities and to allow students to exercise with the major computer programming paradigms and the best programming practices. The major robotics topics students are involved with are: acquiring data from sensors, connecting sensors to the robot, and navigate the robot to reach the final goal. The positive effects given by this approach are highlighted in this paper by comparing the work recently produced by students with the work produced in the previous years in which ROS was not yet adopted and many different software tools and languages were used. The results of a questionnaire are reported showing that we achieved the didactical objectives we expected as instructors.",
    	author = "Michieletto, S and Ghidoni, S and Pagello, E and Moro, M and Menegatti, E",
    	booktitle = "Proceedings of the 4th International Conference on Robotics in Education",
    	keywords = "Educational robotics; ROS; LEGO Mindstorms NXT; te",
    	pages = "145--151",
    	publisher = "Faculty of Electrical, Electronic, Computer and Control Engineering, {\L}{\'{o}}d{\'{z}}, Poland",
    	title = "{Why teach robotics using ROS}",
    	url = "http://rie2013.eu/",
    	year = 2013
    }
    
  9. Michieletto Stefano, Zanin Davide and Menegatti Emanuele. NAO robot simulation for service robotics purposes. In Proc. of European Modelling Symposium EMS2013 (EMS2013). 2013, 448–453. DOI BibTeX

    @conference{11577_2718088,
    	abstract = "Humanoids playing soccer are required to solve a great variety of tasks: from perception to body motion, from decision making to team coordination. On the other hand, results from this community are sometimes underestimated or unexploited because of the dedicated software developed. In particular simulators are often designed for a specific robotics platform or in some other cases the integration with existing software and frameworks is hard to implement and time consuming. In this paper we introduce a novel virtual model to simulate the humanoid robot Aldebaran NAO. The URDF (Unified Robot Description Format) standard has been followed in order to maintain the model as general purpose as possible. Related plug-ins to make it works in Gazebo and V-REP simulation environments were also developed in order to test the model under ROS (Robot Operating System), a very common robotics framework.",
    	author = "Stefano, Michieletto and Davide, Zanin and Emanuele, Menegatti",
    	booktitle = "Proc. of European Modelling Symposium EMS2013 (EMS2013)",
    	doi = "10.1109/EMS.2013.80",
    	keywords = "computer simulations; Aldebaran NAO; virtual model",
    	pages = "448--453",
    	publisher = "IEEE",
    	title = "{NAO robot simulation for service robotics purposes}",
    	year = 2013
    }
    
  10. Bisson Andrea, Busatto Andrea, Michieletto Stefano and Menegatti Emanuele. Stabilize Humanoid Robot Teleoperated by a RGB-D Sensor. In CEUR WORKSHOP PROCEEDINGS 1107. 2013, 97–102. URL BibTeX

    @conference{11577_2717682,
    	abstract = "An easy way to let a robot execute complex actions is to let the robot copy human moves. Useful information are read by sensors and elaborated to convert them into robot movements. This work focuses on keeping the robot balanced while it is performing an action: grasp an object laying on the ground in front of the robot. Experiments are performed with a human user moving in front of the sensor using a humanoid robot performing the same action, the Vstone Robovie-X.",
    	author = "Andrea, Bisson and Andrea, Busatto and Stefano, Michieletto and Emanuele, Menegatti",
    	booktitle = "CEUR WORKSHOP PROCEEDINGS",
    	keywords = "RGB-D sensor; Vstone Robovie-X; humanoids; stabili",
    	pages = "97--102",
    	title = "{Stabilize Humanoid Robot Teleoperated by a RGB-D Sensor}",
    	url = "http://ceur-ws.org/Vol-1107/paper12.pdf",
    	volume = 1107,
    	year = 2013
    }
    
  11. Edmond Wai Yan So, Matteo Munaro, Stefano Michieletto, Stefano Tonello and Emanuele Menegatti. 3DComplete: Efficient completeness inspection using a 2.5D color scanner. Computers in Industry 64(9):1237–1252, 2013. DOI BibTeX

    @article{YanSo2013,
    	abstract = "In this paper, we present a low-cost and highly configurable quality inspection system capable of capturing 2.5D color data, created using off-the-shelf machine vision components, open-source software libraries, and a combination of standard and novel algorithms for 2.5D data processing. The system uses laser triangulation to capture 3D depth, in parallel with a color camera and a line light projector to capture color texture, which are then combined into a color 2.5D model in real-time. Using many examples of completeness inspection tasks that are extremely difficult to solve with current 2D-based methods, we demonstrate how the 2.5D images and point clouds generated by our system can be used to solve these complex tasks effectively and efficiently. Our system is currently being integrated into a real production environment, showing that completeness inspection incorporating 3D technology can be readily achieved in a short time at low costs. {\textcopyright} 2013 Elsevier B.V. All rights reserved.",
    	author = "{Yan So}, Edmond Wai and Munaro, Matteo and Michieletto, Stefano and Tonello, Stefano and Menegatti, Emanuele",
    	doi = "10.1016/j.compind.2013.03.014",
    	issn = 01663615,
    	journal = "Computers in Industry",
    	keywords = "3D reconstruction,Completeness inspection,Image and range data fusion,Laser triangulation",
    	number = 9,
    	pages = "1237--1252",
    	title = "{3DComplete: Efficient completeness inspection using a 2.5D color scanner}",
    	volume = 64,
    	year = 2013
    }
    
  12. Edmond Wai Yan So, Matteo Munaro, Stefano Michieletto, Mauro Antonello and Emanuele Menegatti. Real-time 3D model reconstruction with a dual-laser triangulation system for assembly line completeness inspection. In Advances in Intelligent Systems and Computing 194 AISC(VOL. 2). 2013, 707–716. DOI BibTeX

    @inproceedings{So2013,
    	author = "So, Edmond Wai Yan and Munaro, Matteo and Michieletto, Stefano and Antonello, Mauro and Menegatti, Emanuele",
    	booktitle = "Advances in Intelligent Systems and Computing",
    	doi = "10.1007/978-3-642-33932-5_66",
    	isbn = 9783642339318,
    	issn = 21945357,
    	number = "VOL. 2",
    	pages = "707--716",
    	title = "{Real-time 3D model reconstruction with a dual-laser triangulation system for assembly line completeness inspection}",
    	volume = "194 AISC",
    	year = 2013
    }
    
  13. Matteo Munaro, Filippo Basso and Stefano Michieletto. A software architecture for RGB-D people tracking based on ros framework for a mobile robot. Frontiers of Intelligent łdots, 2013. URL BibTeX

    @article{Munaro2013a,
    	abstract = "This paper describes the software architecture of a distributed multi-people tracking algorithm for mobile platforms equipped with a RGB-D sensor. Our approach features an efficient point cloud depth-based clus-tering, an HOG-like classification to robustly initialize a person tracking and a person classifier with online learning to drive data association. We explain in details how ROS functionalities and tools play an important role in the possibility of the software to be real time, distributed and easy to configure and debug. Tests are presented on a challenging real-world indoor environment and track-ing results have been evaluated with the CLEAR MOT metrics. Our algo-rithm proved to correctly track 96{\%} of people with very limited ID switches and few false positives, with an average frame rate above 20 fps. We also test and discuss its applicability to robot-people following tasks and we re-port experiments on a public RGB-D dataset proving that our software can be distributed in order to increase the framerate and decrease the data ex-change when multiple sensors are used.",
    	author = "Munaro, Matteo and Basso, Filippo and Michieletto, Stefano",
    	journal = "Frontiers of Intelligent {\ldots}",
    	keywords = "1 introduction and related,autonomous service robots have,data,in dynamic and populated,mobile robots,people tracking,real-time,rgb-d,robot operating system,to move and act,work",
    	title = "{A software architecture for RGB-D people tracking based on ros framework for a mobile robot}",
    	url = "http://link.springer.com/chapter/10.1007/978-3-642-35485-4{\_}5",
    	year = 2013
    }
    
  14. Filippo Basso, Matteo Munaro, Stefano Michieletto, Enrico Pagello and Emanuele Menegatti. Fast and robust multi-people tracking from RGB-D data for a mobile robot. In Advances in Intelligent Systems and Computing 193 AISC(VOL. 1). 2013, 265–276. DOI BibTeX

    @inproceedings{Basso2013,
    	abstract = "This paper proposes a fast and robust multi-people tracking algorithm for mobile platforms equipped with a RGB-D sensor. Our approach features an efficient point cloud depth-based clustering, an HOG-like classification to robustly initialize a person tracking and a person classifier with online learning to manage the person ID matching even after a full occlusion. For people detection, we make the assumption that people move on a ground plane. Tests are presented on a challenging real-world indoor environment and results have been evaluated with the CLEAR MOT metrics. Our algorithm proved to correctly track 96{\%} of people with very limited ID switches and few false positives, with an average frame rate of 25 fps. Moreover, its applicability to robot-people following tasks have been tested and discussed.",
    	author = "Basso, Filippo and Munaro, Matteo and Michieletto, Stefano and Pagello, Enrico and Menegatti, Emanuele",
    	booktitle = "Advances in Intelligent Systems and Computing",
    	doi = "10.1007/978-3-642-33926-4_25",
    	isbn = 9783642339257,
    	issn = 21945357,
    	keywords = "People tracking,RGB-D data,mobile robots,real-time",
    	number = "VOL. 1",
    	pages = "265--276",
    	title = "{Fast and robust multi-people tracking from RGB-D data for a mobile robot}",
    	volume = "193 AISC",
    	year = 2013
    }
    
  15. Pozzato Gabriele, Michieletto Stefano and Menegatti Emanuele. Towards Smart Robots: Rock-Paper-Scissors Gaming versus Human Players. In CEUR WORKSHOP PROCEEDINGS 1107. 2013, 89–95. URL BibTeX

    @conference{11577_2717681,
    	abstract = "In this project a human robot interaction system was developed in order to let people naturally play rock-paper-scissors games against a smart robotic opponent. The robot does not perform random choices, the system is able to analyze the previous rounds trying to forecast the next move. A Machine Learning algorithm based on Gaussian Mixture Model (GMM) allows us to increase the percentage of robot victories. This is a very important aspect in the natural interaction between human and robot, in fact, people do not like playing against “stupid” machines, while they are stimulated in confronting with a skilled opponent.",
    	author = "Gabriele, Pozzato and Stefano, Michieletto and Emanuele, Menegatti",
    	booktitle = "CEUR WORKSHOP PROCEEDINGS",
    	keywords = "Gaussian Mixture Model; Machine Learning; human ro",
    	pages = "89--95",
    	title = "{Towards Smart Robots: Rock-Paper-Scissors Gaming versus Human Players}",
    	url = "http://ceur-ws.org/Vol-1107/paper11.pdf",
    	volume = 1107,
    	year = 2013
    }
    
  16. Michieletto Stefano, Chessa Nicola and Menegatti Emanuele. Learning how to approach industrial robot tasks from natural demonstrations. In 2013 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO). 2013, 255–260. DOI BibTeX

    @conference{11577_2718084,
    	abstract = "In the last years, Robot Learning from Demonstration (RLfD) has become a major topic in robotics research. The main reason for this is that programming a robot can be a very difficult and time spending task. The RLfD paradigm has been applied to a great variety of robots, but it is still difficult to make the robot learn a task properly. Often the teacher is not an expert in the field, and viceversa an expert could not know well enough the robot to be a teacher. With this paper, we aimed at closing this gap by proposing a novel motion re-targeting technique to make a manipulator learn from natural demonstrations. A RLfD framework based on Gaussian Mixture Models (GMM) and Gaussian Mixture Regressions (GMR) was set to test the accuracy of the system in terms of precision and repeatability. The robot used during the experiments is a Comau Smart5 SiX and a novel virtual model of this manipulator has also been developed to simulate an industrial scenario which allows valid experimentation while avoiding damages to the real robot.",
    	author = "Stefano, Michieletto and Nicola, Chessa and Emanuele, Menegatti",
    	booktitle = "2013 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)",
    	doi = "10.1109/ARSO.2013.6705538",
    	keywords = "Robot Learning from Demonstration; industrial mani",
    	pages = "255--260",
    	title = "{Learning how to approach industrial robot tasks from natural demonstrations}",
    	year = 2013
    }
    
  17. Stefano Michieletto, Nicola Chessa and Emanuele Menegatti. Learning how to approach industrial robot tasks from natural demonstrations. In Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO. 2013, 255–260. DOI BibTeX

    @inproceedings{Michieletto2013,
    	abstract = "In the last years, Robot Learning from Demon-$\backslash$nstration (RLfD) has become a major topic in robotics research. The main reason for this is that programming a robot can be a very difficult and time spending task.$\backslash$nThe RLfD paradigm has been applied to a great variety of robots, but it is still difficult to make the robot learn a task properly. Often the teacher is not an expert in the field, and viceversa an expert could not know well enough the robot to be a teacher.$\backslash$nWith this paper, we aimed at closing this gap by proposing a novel motion re-targeting technique to make a manipulator learn from natural demonstrations. A RLfD framework based$\backslash$non Gaussian Mixture Models (GMM) and Gaussian Mixture Regressions (GMR) was set to test the accuracy of the system in terms of precision and repeatability.$\backslash$nThe robot used during the experiments is a Comau Smart5 SiX and a novel virtual model of this manipulator has also been developed to simulate an industrial scenario which allows valid$\backslash$nexperimentation while avoiding damages to the real robot.",
    	author = "Michieletto, Stefano and Chessa, Nicola and Menegatti, Emanuele",
    	booktitle = "Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO",
    	doi = "10.1109/ARSO.2013.6705538",
    	isbn = 9781479923694,
    	issn = 21627568,
    	pages = "255--260",
    	title = "{Learning how to approach industrial robot tasks from natural demonstrations}",
    	year = 2013
    }
    
  18. E So, M Munaro, S Michieletto, S Tonello and E Menegatti. 3DComplete: Efficient Completeness Inspection using a 2.5D Color Scanner. COMPUTERS IN INDUSTRY 64:1237–1252, 2013. URL, DOI BibTeX

    @article{11577_2574234,
    	abstract = "In this paper, we present a low-cost and highly configurable quality inspection system capable of capturing 2.5D color data, created using off-the-shelf machine vision components, open-source software libraries, and a combination of standard and novel algorithms for 2.5D data processing. The system uses laser triangulation to capture 3D depth, in parallel with a color camera and a line light projector to capture color texture, which are then combined into a color 2.5D model in real- time. Using many examples of completeness inspection tasks that are extremely difficult to solve with current 2D-based methods, we demonstrate how the 2.5D images and point clouds generated by our system can be used to solve these complex tasks effectively and efficiently. Our system is currently being integrated into a real production environment, showing that completeness inspection incorporating 3D technology can be readily achieved in a short time at low costs.",
    	author = "So, E and Munaro, M and Michieletto, S and Tonello, S and Menegatti, E",
    	doi = "10.1016/j.compind.2013.03.014",
    	journal = "COMPUTERS IN INDUSTRY",
    	keywords = "Completeness inspection; 3D reconstruction; Image",
    	pages = "1237--1252",
    	publisher = "Elsevier",
    	title = "{3DComplete: Efficient Completeness Inspection using a 2.5D Color Scanner}",
    	url = "http://link.springer.com/chapter/10.1007/978-1-4471-6741-9{\_}7",
    	volume = 64,
    	year = 2013
    }
    
  19. Matteo Comin and Morris Antonello. Fast Computation of Entropic Profiles for the Detection of Conservation in Genomes. In Alioune Ngom, Enrico Formenti, Jin-Kao Hao, Xing-Ming Zhao and Twan Laarhoven (eds.). Pattern Recognition in Bioinformatics. 2013, 277–288. BibTeX

    @inproceedings{10.1007/978-3-642-39159-0_25,
    	author = "Comin, Matteo and Antonello, Morris",
    	editor = "Ngom, Alioune and Formenti, Enrico and Hao, Jin-Kao and Zhao, Xing-Ming and van Laarhoven, Twan",
    	title = "Fast Computation of Entropic Profiles for the Detection of Conservation in Genomes",
    	booktitle = "Pattern Recognition in Bioinformatics",
    	year = 2013,
    	publisher = "Springer Berlin Heidelberg",
    	address = "Berlin, Heidelberg",
    	pages = "277--288",
    	abstract = "The information theory has been used for quite some time in the area of computational biology. In this paper we discuss and improve the function Entropic Profile, introduced by Vinga and Almeida in [23]. The Entropic Profiler is a function of the genomic location that captures the importance of that region with respect to the whole genome. We provide a linear time linear space algorithm called Fast Entropic Profile, as opposed to the original quadratic implementation. Moreover we propose an alternative normalization that can be also efficiently implemented. We show that Fast EP is suitable for large genomes and for the discovery of motifs with unbounded length.",
    	isbn = "978-3-642-39159-0"
    }
    
  20. Daisuke Kurabayashi, Yosuke Takahashi, Ryo Minegishi, Elisa Tosello, Enrico Pagello and Ryohei Kanzaki. Property Investigation of Chemical Plume Tracing Algorithm in an Insect Using Bio-machine Hybrid System. In Nathan F Lepora, Anna Mura, Holger G Krapp, Paul F M J Verschure and Tony J Prescott (eds.). Biomimetic and Biohybrid Systems. 2013, 131–142. BibTeX

    @inproceedings{10.1007/978-3-642-39802-5_12,
    	abstract = "In this study, we investigated an aspect of the chemical plume tracing behavior of an insect by using a bio-machine hybrid system. We implemented an experimental system by which an insect brain was connected to a robot body. We observed th neural responses to external disturbances and transitions at changes in the motor gain of the robot body. Based on the results of the experiments, we identified a simple control model for the angular velocity of the behavior. We subsequently investigated the effect of the rotational velocity by using information entropy in computer simulations.",
    	address = "Berlin, Heidelberg",
    	author = "Kurabayashi, Daisuke and Takahashi, Yosuke and Minegishi, Ryo and Tosello, Elisa and Pagello, Enrico and Kanzaki, Ryohei",
    	booktitle = "Biomimetic and Biohybrid Systems",
    	editor = "Lepora, Nathan F. and Mura, Anna and Krapp, Holger G. and Verschure, Paul F. M. J. and Prescott, Tony J.",
    	isbn = "978-3-642-39802-5",
    	pages = "131--142",
    	publisher = "Springer Berlin Heidelberg",
    	title = "Property Investigation of Chemical Plume Tracing Algorithm in an Insect Using Bio-machine Hybrid System",
    	year = 2013
    }
    
  21. Francesco Ferrati, Roberto Bortoletto and Enrico Pagello. Virtual Modelling of a Real Exoskeleton Constrained to a Human Musculoskeletal Model. In Nathan F Lepora, Anna Mura, Holger G Krapp, Paul F M J Verschure and Tony J Prescott (eds.). Biomimetic and Biohybrid Systems. 2013, 96–107. BibTeX

    @inproceedings{10.1007/978-3-642-39802-5_9,
    	abstract = "Exoskeletons represent one of the most important examples of human-oriented robotic devices. This paper describes an existing lower-limb exoskeleton designed to assist people with lower extremity paralysis or weakness during the movements of standing up and walking. Starting from the analysis of a real system developed about seven years ago, a virtual multibody model was realized in order to deeply understand how the device worked and find out some potential improvements in the actuators control and in the kinematic design. The virtual device was properly constrained to a human musculoskeletal model in order to simulate a real operating condition. The analysis of the simulation results suggested a kinematic modification of the system and a new dynamic model was developed in order to test the new design through the comparison of four different models.",
    	address = "Berlin, Heidelberg",
    	author = "Ferrati, Francesco and Bortoletto, Roberto and Pagello, Enrico",
    	booktitle = "Biomimetic and Biohybrid Systems",
    	editor = "Lepora, Nathan F. and Mura, Anna and Krapp, Holger G. and Verschure, Paul F. M. J. and Prescott, Tony J.",
    	isbn = "978-3-642-39802-5",
    	pages = "96--107",
    	publisher = "Springer Berlin Heidelberg",
    	title = "Virtual Modelling of a Real Exoskeleton Constrained to a Human Musculoskeletal Model",
    	year = 2013
    }
    
  22. M Antonello, F Gabrieli, Prof. Eng. Simonetta Cola and Emanuele Menegatti. Automated landslide monitoring through a low-cost stereo vision system. CEUR Workshop Proceedings 1107:37-41, January 2013. BibTeX

    @article{ceur,
    	author = "Antonello, M and Gabrieli, F and Cola, Prof. phD. Eng. Simonetta and Menegatti, Emanuele",
    	journal = "CEUR Workshop Proceedings",
    	month = 01,
    	pages = "37-41",
    	title = "Automated landslide monitoring through a low-cost stereo vision system",
    	volume = 1107,
    	year = 2013
    }
    


2012

  1. Salvatore Anzalone, Y Yoshikawa, Hiroshi Ishiguro, Emanuele Menegatti, Enrico Pagello and Rosario Sorbello. A Topic Recognition System for Real World Human-Robot Conversations. Intelligent Autonomous Systems 12 194:383-391, January 2013. DOI BibTeX

    @article{Anza,
    	author = "Anzalone, Salvatore and Yoshikawa, Y and Ishiguro, Hiroshi and Menegatti, Emanuele and Pagello, Enrico and Sorbello, Rosario",
    	doi = "10.1007/978-3-642-33932-5_36",
    	journal = "Intelligent Autonomous Systems 12",
    	month = 01,
    	pages = "383-391",
    	title = "A Topic Recognition System for Real World Human-Robot Conversations",
    	volume = 194,
    	year = 2013,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-33932-5_36"
    }
    
  2. Gioia Ballin, Matteo Munaro and Emanuele Menegatti. Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation. In Antonio Chella, Roberto Pirrone, Rosario Sorbello and Kamilla Rún Jóhannsdóttir (eds.). Biologically Inspired Cognitive Architectures 2012. 2013, 65–74. BibTeX

    @inproceedings{10.1007/978-3-642-34274-5_17,
    	abstract = "Modern advances in the area of intelligent agents have led to the concept of cognitive robots. A cognitive robot is not only able to perceive complex stimuli from the environment, but also to reason about them and to act coherently. Computer vision-based recognition systems serve the perception task, but they also go beyond it by finding challenging applications in other fields such as video surveillance, HCI, content-based video analysis and motion capture. In this context, we propose an automatic system for real-time human action recognition. We use the Kinect sensor and the tracking system in [1] to robustly detect and track people in the scene. Next, we estimate the 3D optical flow related to the tracked people from point cloud data only and we summarize it by means of a 3D grid-based descriptor. Finally, temporal sequences of descriptors are classified with the Nearest Neighbor technique and the overall application is tested on a newly created dataset. Experimental results show the effectiveness of the proposed approach.",
    	address = "Berlin, Heidelberg",
    	author = "Ballin, Gioia and Munaro, Matteo and Menegatti, Emanuele",
    	booktitle = "Biologically Inspired Cognitive Architectures 2012",
    	editor = "Chella, Antonio and Pirrone, Roberto and Sorbello, Rosario and J{\'o}hannsd{\'o}ttir, Kamilla R{\'u}n",
    	isbn = "978-3-642-34274-5",
    	pages = "65--74",
    	publisher = "Springer Berlin Heidelberg",
    	title = "Human Action Recognition from RGB-D Frames Based on Real-Time 3D Optical Flow Estimation",
    	year = 2013
    }
    
  3. Salvatore Anzalone, Yuichiro Yoshikawa, Hiroshi Ishiguro, Emanuele Menegatti, Enrico Pagello and Rosario Sorbello. Towards Partners Profiling in Human Robot Interaction Contexts. November 2012, 4-15. DOI BibTeX

    @inproceedings{Anza2,
    	author = "Anzalone, Salvatore and Yoshikawa, Yuichiro and Ishiguro, Hiroshi and Menegatti, Emanuele and Pagello, Enrico and Sorbello, Rosario",
    	doi = "10.1007/978-3-642-34327-8_4",
    	journal = "Simulation, Modeling, and Programming for Autonomous Robots",
    	month = 11,
    	pages = "4-15",
    	title = "Towards Partners Profiling in Human Robot Interaction Contexts",
    	volume = 7628,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-34327-8_4"
    }
    
  4. Salvatore Anzalone, Yuichiro Yoshikawa, Hiroshi Ishiguro, Emanuele Menegatti, Enrico Pagello and Rosario Sorbello. Towards Partners Profiling in Human Robot Interaction Contexts. November 2012, 4-15. DOI BibTeX

    @inproceedings{Anza3,
    	author = "Anzalone, Salvatore and Yoshikawa, Yuichiro and Ishiguro, Hiroshi and Menegatti, Emanuele and Pagello, Enrico and Sorbello, Rosario",
    	doi = "10.1007/978-3-642-34327-8_4",
    	journal = "Simulation, Modeling, and Programming for Autonomous Robots",
    	month = 11,
    	pages = "4-15",
    	title = "Towards Partners Profiling in Human Robot Interaction Contexts",
    	volume = 7628,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-34327-8_4"
    }
    
  5. Edmond Wai Yan So, Stefano Michieletto and Emanuele Menegatti. Calibration of a dual-laser triangulation system for assembly line completeness inspection. November 2012, 138-143. DOI BibTeX

    @inproceedings{Wai,
    	author = "Wai Yan So, Edmond and Michieletto, Stefano and Menegatti, Emanuele",
    	doi = "10.1109/ROSE.2012.6402621",
    	isbn = "978-1-4673-2705-3",
    	journal = "2012 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Proceedings",
    	month = 11,
    	pages = "138-143",
    	title = "Calibration of a dual-laser triangulation system for assembly line completeness inspection",
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/ROSE.2012.6402621"
    }
    
  6. Konstantine Tsotsos, Alberto Pretto and Stefano Soatto. Visual-inertial ego-motion estimation for humanoid platforms. November 2012, 704-711. DOI BibTeX

    @inproceedings{inproceedings,
    	author = "Tsotsos, Konstantine and Pretto, Alberto and Soatto, Stefano",
    	doi = "10.1109/HUMANOIDS.2012.6651597",
    	month = 11,
    	pages = "704-711",
    	title = "Visual-inertial ego-motion estimation for humanoid platforms",
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/HUMANOIDS.2012.6651597"
    }
    
  7. Matteo Munaro, Filippo Basso and Emanuele Menegatti. Tracking people within groups with RGB-D data. October 2012, 2101-2107. DOI BibTeX

    @inproceedings{basso,
    	author = "Munaro, Matteo and Basso, Filippo and Menegatti, Emanuele",
    	doi = "10.1109/IROS.2012.6385772",
    	isbn = "978-1-4673-1737-5",
    	journal = "Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems",
    	month = 10,
    	pages = "2101-2107",
    	title = "Tracking people within groups with RGB-D data",
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/IROS.2012.6385772"
    }
    
  8. Andrea Bardella, Matteo Danieletto, Emanuele Menegatti, Andrea Zanella, Alberto Pretto and Pietro Zanuttigh. Autonomous robot exploration in smart environments exploiting wireless sensors and visual features. Annals of telecommunications 67:1-15, August 2012. DOI BibTeX

    @article{Bardella,
    	author = "Bardella, Andrea and Danieletto, Matteo and Menegatti, Emanuele and Zanella, Andrea and Pretto, Alberto and Zanuttigh, Pietro",
    	doi = "10.1007/s12243-012-0305-z",
    	journal = "Annals of telecommunications",
    	month = 08,
    	pages = "1-15",
    	title = "Autonomous robot exploration in smart environments exploiting wireless sensors and visual features",
    	volume = 67,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/s12243-012-0305-z"
    }
    
  9. Roberto Bortoletto, Massimo Sartori, Fuben He and Enrico Pagello. Simulating an Elastic Bipedal Robot Based on Musculoskeletal Modeling. July 2012. DOI BibTeX

    @inproceedings{Bipede,
    	author = "Bortoletto, Roberto and Sartori, Massimo and He, Fuben and Pagello, Enrico",
    	doi = "10.1007/978-3-642-31525-1_3",
    	month = 07,
    	title = "Simulating an Elastic Bipedal Robot Based on Musculoskeletal Modeling",
    	volume = 7375,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-31525-1_3"
    }
    
  10. Nicolo Boscolo, Riccardo De, Matteo Munaro, Alessando Farinelli and Enrico Pagello. A Distributed Kinodynamic Collision Avoidance System under ROS. June 2012. DOI BibTeX

    @inproceedings{Bosco,
    	author = "Boscolo, Nicolo and De, Riccardo and Munaro, Matteo and Farinelli, Alessando and Pagello, Enrico",
    	doi = "10.1007/978-3-642-33932-5_47",
    	journal = "Advances in Intelligent Systems and Computing",
    	month = 06,
    	title = "A Distributed Kinodynamic Collision Avoidance System under ROS",
    	volume = 194,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-33932-5_47"
    }
    
  11. Stefano Ghidoni, Grzegorz Cielniak and Emanuele Menegatti. Texture-Based Crowd Detection and Localisation. Volume 193, June 2012. DOI BibTeX

    @inbook{Crowd2,
    	author = "Ghidoni, Stefano and Cielniak, Grzegorz and Menegatti, Emanuele",
    	doi = "10.1007/978-3-642-33926-4_69",
    	journal = "Advances in Intelligent Systems and Computing",
    	month = 06,
    	title = "Texture-Based Crowd Detection and Localisation",
    	volume = 193,
    	year = 2012,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-33926-4_69"
    }
    
  12. Basso Filippo, Munaro Matteo, Michieletto Stefano, Pagello Enrico and Menegatti Emanuele. Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING 193. 2012, 265–276. URL, DOI BibTeX

    @conference{11577_2533616,
    	abstract = "This paper proposes a fast and robust multi-people tracking algorithm for mobile platforms equipped with a RGB-D sensor. Our approach features an efficient point cloud depth-based clustering, an HOG-like classification to robustly initialize a person tracking and a person classifier with online learning to manage the person ID matching even after a full occlusion. For people detection, we make the assumption that people move on a ground plane. Tests are presented on a challenging real-world indoor environment and results have been evaluated with the CLEAR MOT metrics. Our algorithm proved to correctly track 96{\%} of people with very limited ID switches and few false positives, with an average frame rate of 25 fps. Moreover, its applicability to robot-people following tasks have been tested and discussed.",
    	author = "Filippo, Basso and Matteo, Munaro and Stefano, Michieletto and Enrico, Pagello and Emanuele, Menegatti",
    	booktitle = "ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING",
    	doi = "10.1007/978-3-642-33926-4_25",
    	pages = "265--276",
    	publisher = "Springer Berlin Heidelberg",
    	title = "{Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot}",
    	url = "http://link.springer.com/chapter/10.1007{\%}2F978-3-642-33926-4{\_}25",
    	volume = 193,
    	year = 2012
    }
    
  13. Edmond Wai Yan So, Munaro Matteo, Michieletto Stefano, Antonello Mauro and Menegatti Emanuele. Real-Time 3D Model Reconstruction with a Dual-Laser Triangulation System for Assembly Line Completeness Inspection. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING 194. 2012, 707–716. URL, DOI BibTeX

    @conference{11577_2533672,
    	abstract = "In this paper, we present an improved version of our Dual Laser Triangulation System, a low-cost color 3D model acquisition system built with commonly available machine vision products. The system produces a color point cloud model of scanned objects that can be used to perform completeness inspection tasks on assembly lines. In particular, we show that model acquisition and reconstruction can be achieved in real-time using such a low-cost solution. Our results demonstrate that 3D-based inspection can be achieved readily and economically in a real industrial production environment.",
    	address = "Berlin",
    	author = "{Edmond Wai Yan So} and Matteo, Munaro and Stefano, Michieletto and Mauro, Antonello and Emanuele, Menegatti",
    	booktitle = "ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING",
    	doi = "10.1007/978-3-642-33932-5_66",
    	pages = "707--716",
    	publisher = "Springer Verlag",
    	title = "{Real-Time 3D Model Reconstruction with a Dual-Laser Triangulation System for Assembly Line Completeness Inspection}",
    	url = "http://link.springer.com/chapter/10.1007{\%}2F978-3-642-33932-5{\_}66",
    	volume = 194,
    	year = 2012
    }
    
  14. Edmond Wai Yan So, Stefano Michieletto and Emanuele Menegatti. Calibration of a dual-laser triangulation system for assembly line completeness inspection. In 2012 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Proceedings. 2012, 138–143. DOI BibTeX

    @inproceedings{So2012,
    	author = "So, Edmond Wai Yan and Michieletto, Stefano and Menegatti, Emanuele",
    	booktitle = "2012 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2012 - Proceedings",
    	doi = "10.1109/ROSE.2012.6402621",
    	isbn = 9781467327046,
    	keywords = "conveyor calibration,dual lasers,laser calibration,laser triangulation,misalignment",
    	pages = "138--143",
    	title = "{Calibration of a dual-laser triangulation system for assembly line completeness inspection}",
    	year = 2012
    }
    
  15. Stefano Michieletto and Emanuele Menegatti. Human action recognition oriented to humanoid robots action reproduction. In CEUR Workshop Proceedings 860. 2012, 35–40. BibTeX

    @inproceedings{Michieletto2012,
    	abstract = "Our research aims at providing a humanoid robot with the ability of observing, learning, and reproducing actions performed by humans in order to acquire new skills. In other words, we want to apply artificial intelligence techniques to automatically recognize a human activity in order to make a humanoid robot able to reproduce it.This system has not only to distinguish between different actions, but also to represent them in a proper manner to allow a robot to reproduce the motion trajectories the demonstrator showed and learn new skills. Since the final system is going to be integrated in an autonomous humanoid robot (specifically model Aldebran Nao), we are working with an RGB-D sensor (Microsoft Kinect) that can be easily applied to it. This objective introduces also strict real-time constrains to the action recognition algorithm: we have opted for a probabilistic approach that offers good modeling and fast recognition performances.",
    	author = "Michieletto, Stefano and Menegatti, Emanuele",
    	booktitle = "CEUR Workshop Proceedings",
    	issn = 16130073,
    	keywords = "Action recognition,Humanoid robots,Imitation learning,Programming by demonstration",
    	pages = "35--40",
    	title = "{Human action recognition oriented to humanoid robots action reproduction}",
    	volume = 860,
    	year = 2012
    }
    
  16. Roberto Bortoletto, Massimo Sartori, Fuben He and Enrico Pagello. Modeling and Simulating Compliant Movements in a Musculoskeletal Bipedal Robot. In Itsuki Noda, Noriaki Ando, Davide Brugali and James J Kuffner (eds.). Simulation, Modeling, and Programming for Autonomous Robots. 2012, 237–250. BibTeX

    @inproceedings{10.1007/978-3-642-34327-8_23,
    	abstract = "This paper describes the modeling and the simulation of a novel Elastic Bipedal Robot based on Human Musculoskeletal modeling. The geometrical organization of the robot artificial muscles is based on the organization of human muscles. In this paper we study how the robot active and passive elastic actuation structures develop force during selected motor tasks, and how we can model the contact between feet and ground. We then compare the robot dynamics to that of the human during the same motor tasks. The motivation behind this study is to reduce the development time by using a simulation environment for the purpose of developing a bipedal robot that takes advantage of the mechanisms underlying the human musculoskeletal dynamics for the generation of natural movement.",
    	address = "Berlin, Heidelberg",
    	author = "Bortoletto, Roberto and Sartori, Massimo and He, Fuben and Pagello, Enrico",
    	booktitle = "Simulation, Modeling, and Programming for Autonomous Robots",
    	editor = "Noda, Itsuki and Ando, Noriaki and Brugali, Davide and Kuffner, James J.",
    	isbn = "978-3-642-34327-8",
    	pages = "237--250",
    	publisher = "Springer Berlin Heidelberg",
    	title = "Modeling and Simulating Compliant Movements in a Musculoskeletal Bipedal Robot",
    	year = 2012
    }
    
  17. Stefano Tonello, Guido Piero Zanetti, Matteo Finotto, Roberto Bortoletto, Elisa Tosello and Emanuele Menegatti. WorkCellSimulator: A 3D Simulator for Intelligent Manufacturing. In Itsuki Noda, Noriaki Ando, Davide Brugali and James J Kuffner (eds.). Simulation, Modeling, and Programming for Autonomous Robots. 2012, 311–322. BibTeX

    @inproceedings{10.1007/978-3-642-34327-8_29,
    	abstract = "This paper presents WorkCellSimulator, a software platform that allows to manage an environment for the simulation of robot tasks. It uses the most advanced artificial intelligence algorithms in order to define the production process, by controlling one or more robot manipulators and machineries present in the work cell. The main goal of this software is to assist the user in defining customized production processes which involve specific automated cells. It has been developed by IT+Robotics, a spin-off company of the University of Padua, founded in 2005 from the collaboration between young researchers in the field of Robotics and a group of professors from the Department of Information Engineering, University of Padua.",
    	address = "Berlin, Heidelberg",
    	author = "Tonello, Stefano and Zanetti, Guido Piero and Finotto, Matteo and Bortoletto, Roberto and Tosello, Elisa and Menegatti, Emanuele",
    	booktitle = "Simulation, Modeling, and Programming for Autonomous Robots",
    	editor = "Noda, Itsuki and Ando, Noriaki and Brugali, Davide and Kuffner, James J.",
    	isbn = "978-3-642-34327-8",
    	pages = "311--322",
    	publisher = "Springer Berlin Heidelberg",
    	title = "WorkCellSimulator: A 3D Simulator for Intelligent Manufacturing",
    	year = 2012
    }
    
  18. Stefano Michieletto and Emanuele Menegatti. Human action recognition oriented to humanoid robots action reproduction. CEUR Workshop Proceedings 860:35-40, January 2012. BibTeX

    @article{EM1,
    	author = "Michieletto, Stefano and Menegatti, Emanuele",
    	journal = "CEUR Workshop Proceedings",
    	month = 01,
    	pages = "35-40",
    	title = "Human action recognition oriented to humanoid robots action reproduction",
    	volume = 860,
    	year = 2012
    }
    
  19. P Donaggio and Stefano Ghidoni. Fast calibration method for active cameras. VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications 2:79-82, January 2012. BibTeX

    @article{Pino,
    	author = "Donaggio, P and Ghidoni, Stefano",
    	journal = "VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications",
    	month = 01,
    	pages = "79-82",
    	title = "Fast calibration method for active cameras",
    	volume = 2,
    	year = 2012
    }
    
  20. Massimo Sartori, Monica Reggiani, Antonie J Bogert and David G Lloyd. Estimation of musculotendon kinematics in large musculoskeletal models using multidimensional B-splines. Journal of biomechanics 45(3):595–601, 2011. DOI BibTeX

    @article{2229eb24542146839c404e8a201539a5,
    	title = "Estimation of musculotendon kinematics in large musculoskeletal models using multidimensional B-splines",
    	author = "Massimo Sartori and Monica Reggiani and {van den Bogert}, {Antonie J} and Lloyd, {David G}",
    	year = 2011,
    	doi = "10.1016/j.jbiomech.2011.10.040",
    	language = "English",
    	volume = 45,
    	pages = "595--601",
    	journal = "Journal of biomechanics",
    	issn = "0021-9290",
    	publisher = "Elsevier",
    	number = 3
    }
    
  21. A Broggi, P Cerri, L Gatti, P Grisleri, H G Jung and J Lee. Scenario-driven search for pedestrians aimed at triggering non-reversible systems. In 2009 IEEE Intelligent Vehicles Symposium (). June 2009, 285-291. DOI BibTeX

    @inproceedings{5164292,
    	author = "A. Broggi and P. Cerri and L. Gatti and P. Grisleri and H. G. Jung and J. Lee",
    	booktitle = "2009 IEEE Intelligent Vehicles Symposium",
    	title = "Scenario-driven search for pedestrians aimed at triggering non-reversible systems",
    	year = 2009,
    	volume = "",
    	number = "",
    	pages = "285-291",
    	keywords = "image recognition;object detection;traffic engineering computing;scenario-driven pedestrian search;nonreversible system;pedestrian detection;automotive application;pedestrian recognition;laser scanner;camera;brake-by-wire technology;Rain;Cameras;Automotive components;Optical sensors;Intelligent sensors;Optical distortion;Image sensors;Stimulated emission;Mirrors;Automotive engineering",
    	doi = "10.1109/IVS.2009.5164292",
    	issn = "1931-0587",
    	month = "June"
    }
    


2011

  1. M Munaro and A Cenedese. Scene specific people detection by simple human interaction. In 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) (). November 2011, 1250-1255. DOI BibTeX

    @inproceedings{6130394,
    	author = "M. {Munaro} and A. {Cenedese}",
    	booktitle = "2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)",
    	title = "Scene specific people detection by simple human interaction",
    	year = 2011,
    	volume = "",
    	number = "",
    	pages = "1250-1255",
    	keywords = "cameras;image classification;object detection;scene specific people detection;human interaction;static camera;appearance-based people detector;background subtraction;proportion constraint;scene classifier;Detectors;Humans;Training;Positron emission tomography;Cameras;Accuracy;Three dimensional displays",
    	doi = "10.1109/ICCVW.2011.6130394",
    	issn = "",
    	month = "Nov"
    }
    
  2. Salvatore Anzalone, Emanuele Menegatti, Enrico Pagello, Rosario Sorbello, Yuichiro Yoshikawa and Hiroshi Ishiguro. A Multimodal People Recognition System for an Intelligent Environment. September 2011, 451-456. DOI BibTeX

    @inproceedings{AnzaYea!,
    	author = "Anzalone, Salvatore and Menegatti, Emanuele and Pagello, Enrico and Sorbello, Rosario and Yoshikawa, Yuichiro and Ishiguro, Hiroshi",
    	doi = "10.1007/978-3-642-23954-0_46",
    	month = 09,
    	pages = "451-456",
    	title = "A Multimodal People Recognition System for an Intelligent Environment",
    	year = 2011,
    	bdsk-url-1 = "http://dx.doi.org/10.1007/978-3-642-23954-0_46"
    }
    
  3. Massimo Sartori, Monica Reggiani, David Lloyd and Enrico Pagello. A neuromusculoskeletal model of the human lower limb: towards EMG-driven actuation of multiple joints in powered orthoses.. July 2011. DOI BibTeX

    @inproceedings{sartori,
    	author = "Sartori, Massimo and Reggiani, Monica and Lloyd, David and Pagello, Enrico",
    	doi = "10.1109/ICORR.2011.5975441,",
    	journal = "IEEE International Conference on Rehabilitation Robotics, ICORR 2011,",
    	month = 07,
    	title = "A neuromusculoskeletal model of the human lower limb: towards EMG-driven actuation of multiple joints in powered orthoses.",
    	year = 2011,
    	bdsk-url-1 = "http://dx.doi.org/10.1109/ICORR.2011.5975441,"
    }
    
  4. B Lain, S Ghidoni and E Menegatti. Robust object tracking in a dual camera sensor. In 2011 4th International Conference on Human System Interactions, HSI 2011 (). May 2011, 150-157. DOI BibTeX

    @inproceedings{5937358,
    	author = "B. {Lain} and S. {Ghidoni} and E. {Menegatti}",
    	booktitle = "2011 4th International Conference on Human System Interactions, HSI 2011",
    	title = "Robust object tracking in a dual camera sensor",
    	year = 2011,
    	volume = "",
    	number = "",
    	pages = "150-157",
    	keywords = "image colour analysis;image sensors;object tracking;video signal processing;robust object tracking;dual camera sensor;cooperative system;target tracking;Omnidome;pan-tilt-zoom unit;omnidirectional camera;color histogram analysis;motion detector;Target tracking;Histograms;Pixel;Image color analysis;Cameras;Detectors",
    	doi = "10.1109/HSI.2011.5937358",
    	issn = "2158-2254",
    	month = "May"
    }
    
  5. S Ghidoni, M Finotto and E Menegatti. Self-learning visual inspection system for cable crimping machines. In 2011 IEEE International Conference on Robotics and Automation (). May 2011, 1-4. DOI BibTeX

    @inproceedings{5980590,
    	author = "S. {Ghidoni} and M. {Finotto} and E. {Menegatti}",
    	booktitle = "2011 IEEE International Conference on Robotics and Automation",
    	title = "Self-learning visual inspection system for cable crimping machines",
    	year = 2011,
    	volume = "",
    	number = "",
    	pages = "1-4",
    	keywords = "cable jointing;cables (electric);crimping;electric connectors;image colour analysis;inspection;production engineering computing;wires (electric);self-learning visual inspection system;cable crimping machines;connector checking;wire color sequences;color analysis technique;noise filtering",
    	doi = "10.1109/ICRA.2011.5980590",
    	issn = "1050-4729",
    	month = "May"
    }
    
  6. S M Anzalone, E Menegatti, E Pagello, Y Yoshikawa, H Ishiguro and A Chella. Audio-video people recognition system for an intelligent environment. In 2011 4th International Conference on Human System Interactions, HSI 2011 (). May 2011, 237-244. DOI BibTeX

    @inproceedings{5937372,
    	author = "S. M. {Anzalone} and E. {Menegatti} and E. {Pagello} and Y. {Yoshikawa} and H. {Ishiguro} and A. {Chella}",
    	booktitle = "2011 4th International Conference on Human System Interactions, HSI 2011",
    	title = "Audio-video people recognition system for an intelligent environment",
    	year = 2011,
    	volume = "",
    	number = "",
    	pages = "237-244",
    	keywords = "face recognition;feature extraction;middleware;speech recognition;support vector machines;audio-video people recognition system;intelligent environment;voice detection;face detection;voice recognition;face recognition;voice feature extraction;short time cepstrum analysis;eigenfaces technique;face feature extraction;support vector machine;cross-anchoring learning rule;mutual exclusivity selection principle;middleware software;Feature extraction;Cameras;Humans;Artificial intelligence;Training;Support vector machines;Speech recognition",
    	doi = "10.1109/HSI.2011.5937372",
    	issn = "2158-2254",
    	month = "May"
    }
    
  7. A Pretto, E Menegatti and E Pagello. Omnidirectional dense large-scale mapping and navigation based on meaningful triangulation. In 2011 IEEE International Conference on Robotics and Automation (). May 2011, 3289-3296. DOI BibTeX

    @inproceedings{5980206,
    	author = "A. {Pretto} and E. {Menegatti} and E. {Pagello}",
    	booktitle = "2011 IEEE International Conference on Robotics and Automation",
    	title = "Omnidirectional dense large-scale mapping and navigation based on meaningful triangulation",
    	year = 2011,
    	volume = "",
    	number = "",
    	pages = "3289-3296",
    	keywords = "cameras;edge detection;feature extraction;image sensors;mesh generation;motion estimation;navigation;object tracking;SLAM (robots);solid modelling;topology;omnidirectional dense large-scale mapping;dense 3D maps;omnidirectional camera;egomotion estimation;robust tracking;omnidirectional image;triangle mesh subdivision;constrained Delaunay triangulation;edgelet feature extraction;structure parameter estimation;optimization framework;car roof;Three dimensional displays;Cameras;Image edge detection;Feature extraction;Tracking;Optimization;Simultaneous localization and mapping",
    	doi = "10.1109/ICRA.2011.5980206",
    	issn = "1050-4729",
    	month = "May"
    }
    
  8. Munaro Matteo, Michieletto Stefano, So Edmond, Alberton Daniele and Menegatti Emanuele. Fast 2.5D model reconstruction of assembled parts with high occlusion for completeness inspection. In Proc. of World Academy of Science, Engineering and Technology. 2011, 1718–1724. BibTeX

    @conference{11577_2534856,
    	abstract = "In this work a dual laser triangulation system is pre- sented for fast building of 2.5D textured models of objects within a production line. This scanner is designed to produce data suitable for 3D completeness inspection algorithms. For this purpose two laser projectors have been used in order to considerably reduce the problem of occlusions in the camera movement direction. Results of reconstruction of electronic boards are presented, together with a comparison with a commercial system.",
    	author = "Matteo, Munaro and Stefano, Michieletto and Edmond, So and Daniele, Alberton and Emanuele, Menegatti",
    	booktitle = "Proc. of World Academy of Science, Engineering and Technology",
    	keywords = "3D quality inspection; 2.5D reconstruction; laser",
    	pages = "1718--1724",
    	publisher = "World Academy of Science Engineering and Technology",
    	title = "{Fast 2.5D model reconstruction of assembled parts with high occlusion for completeness inspection}",
    	year = 2011
    }
    




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