We are/were involved in the following projects:
eCraft2Learn (http://cordis.europa.eu/project/rcn/206165_it.html) is a two-year Horizon2020 project started the 1st January 2017. The aim of the project is to reinforce personalized learning and teaching in STEAM education and to promote the development of 21st century skills and the employability of students aged 13-17 in the EU. For this purpose, eCraft2Learn will research, design and validate an ecosystem based on digital fabrication and make technologies for creating computer-supported artefacts.
Our role in ECraft2Learn project is the evaluation of suitable open source 3D printers and DIY electronics that will be integrated with the eCraft2Learn ecosystems through an unified user interface, and the planning of the unified ecosystem.
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) is an international robotics competition, held every two years. MBZIRC provides an ambitious and technologically demanding set of challenges, and is open to all teams from all countries. MBZIRC aims to inspire the future of robotics through innovative solutions and technological excellence.
MBZIRC 2017 consist of three challenges and a triathlon type Grand Challenge. IAS-Lab is one of the 46 teams selected in 143 application received from 35 countries. IAS-Lab takes part in the Challenge 2 that requires an unmanned ground vehicle (UGV) with an onboard manipulator to operate a valve stem placed on a panel. To solve the task the robot must
identify the appropriate tool to use, pick it up, and manipulate it to rotate the valve stem one full circle.
More information can be found in the web site http://www.mbzirc.com/#
Our team (the DESERT LION) includes:
1. Enrico Pagello. Full Professor. His research interests include the application of Articial Intelligent to robotics with regard to multi-robot systems, cognitive robotics, motion planning and robot pro-gramming languages.
Role: Principal Investigator.
2. Emanuele Menegatti. Associate Professor. His research interests are in the eld of omnidirectional and distributed vision systems, industrial robot vision, and RGB-D vision algorithms for mobile robots.
Role: 2D and 3D robot perception.
3. Stefano Ghidoni. Assistant Professor. His main research interests are on deep learning and cooperative sensors, body pose estimation and people re-identication systems in camera networks.
Role: Image processing and visual servoing.
4. Matteo Munaro. Post-doctoral Research Fellow. His research interests focus on people detection, RGB-D sensors and features, human action recognition, 3D reconstruction for quality inspection.
Role: Team coordination and robot vision.
5. Roberto Bortoletto. Post-doctoral Research Fellow. His research interests include neuromuscular human-machine interfaces, brain machine interfaces, computational intelligence and machine learning.
Role: Navigation, modeling and simulation.
To enhance the educational process of our School of Engineering, we have included also the following people to collaborate to the team activities of the MZBIRC Project:
Elisa Tosello, a Ph.D. Student, who is working on motion planning among movable obstacles, and manipulation and grasping tasks;
Marco Carraro, a Ph.d. Student, who is working on localization and mapping for the movable platform;
Morris Antonello, a Ph.d. Student, who is working on RGB-D data processing;
Enrica Rossi, a Post-Master Fellow, who is focusing on investigating hybrid control law for under-actuated robotic platforms;
Nicola Bagarello and Silvia Gandin, Master Students, who are working on the panel inspection, wrench recognition and grasping tasks in fulfilment of the requirements for their Master theses;
Matteo Tessarotto, Alex Badan, Leonardo Pellegrina, Riccardo Fantinel, and Luca Benvegnù, all Master Students, who are addressing some of the tasks required to control the robot, as part of the Autonomous Robotics master course.
The RoboESL project born within the project Erasmus+, the EU program in the fields of education, training, youth and sport for the period 2014-2020. The aim of the RoboESL project is to support school to tackle early school leaving (ESL) and disadvantage introducing robot in the extra curriculum activities. RoboESL acts supporting the networking of schools which promote collaborative and holistic approaches to teaching, developing methods and creating conditions for personalised teaching and learning in order to support each student, and developing monitoring and assessment suitable for such approaches.
The project involves Italy, Greece and Latvia.
The role of IAS and Litte Labs is to develop curricula for ten exemplary interdisciplinary robotic projects that will be carried out in the partner schools and to train the teachers in the use of robot.
More information can be found in the web site http://roboesl.eu/
The FOCUS project aims to support methods for improved exploitation of FoF project results from the chosen five participating FoF clusters. Creating clusters of FoF project activities, according to their objectives and addressed themes, is an effective way to enhance the impact of FoF projects. The five participating clusters in FOCUS will share experiences and best-practices to stimulate the take-up of project results and investigate how to best exploit synergies. Not only within these participating clusters now but foremost to define an approach that can also work for future clusters.
Dodich - Creation of a machine for viticulture powered by renewable sources.
DODICH Dodich is a project co-financed by European Agricultural Fund for Rural Development (EAFRD).
The DODICH project aims are to develop a cost effective and small sized autonomous machine capable to perform simple operations in vineyards with the possibility to be powered by renewable energy sources. Vineyard's owners could benefit, with this kind of vehicle by either costs reduction on wine production and better safety and quality for the automated operations. The IAS-Lab contribute to this project developing the autonomous navigation algorithms and the software application framework. A further contribute by the IAS-Lab is the development of a wireless battery charger system prototype and a complete autonomous docking algorithm to enable a robot to be 24/7 autonomous and operative.
il 26 Gennaio si è tenuto presso il Centro Interdipartimentale per la Ricerca in Viticoltura ed Enologia di Conegliano, il convegno finale del progetto DODICH. Sono disponibili al seguente link le presentazioni dei relatori: http://www.ethics.it/dodich/presentazioni-convegno-dodich/
FibreMap - Automatic Mapping of Fibre Orientation for Draping of Carbon Fibre Parts.
This project aims at the development of an automatic quality control and feedback mechanism to improve draping of carbon fibres on complex parts. There is a strong need in the automotive industry for automatic systems that perform quality control and improve draping processes in order to allow high production volumes. The technology that is being developed in the project will include a new sensor system for robust detection of fibre orientation combined with a robotic system to scan complex parts. This is based on a new technology that uses reflection models of carbon fibre to solve the problems encountered with earlier vision-based approaches. The data coming from the inspection system will be fed into draping simulation to improve the accuracy of the processes. Draping is the process of placing woven carbon material on typically complex 3D parts (preforms) with the goal of having the fibres oriented along specific directions predicted by finite element calculations. This is done to maximize the strength-to-weight ratio of the part.
The IAS-Lab contributes to this project developing algorithms for measuring fiber orientation during the draping process. This is done by means of image processing techniques and 3D data modeling for taking into account the perspective effect. The IAS-Lab is also responsible for the development of the experimental workcell, composed of a camera installed on an articulated robot.
More information can be found in the FibreMap web page
Crack detection in parts of complex geometry is often done manually using magnetic particle inspection. The Thermobot project combines robotics and thermography to replace this decades-old method. Using the inspection of a whole crankshaft as an example a prototype system will be developed that can inspect complex parts, mainly targeting at the automotive industry but also at aerospace applications.
The IAS-LAb is involved in the research and development of algorithms for automatic detection of cracks in metal parts and material intrusions in carbon fiber parts. Such algorithms are able to deal with the different orientations under which a part can be seen, and distinguish between artifacts and real defects.
More information can be found in the Thermobot web page.
Service Robotics is the branch of robotics aiming at the development of robots able to assist humans in their environment.
Service robots are going to be the major application field for technologies developed by the autonomous robot research community. Service robots must be designed to interact with people, so human-robot interaction technologies are crucial for service robotics. An important ability they will have is the capability to entertain and play with humans. In a word they can be "companions" to humans with specialized abilities.
Possible applications for service robots will be to assist elderly people or to allow parents to stay close to their children through telepresence, or they can act as physical avatars for virtual meetings. Moreover, they may be used for surveillance and security within houses or company buildings.
The purpose of this Robotics Research Campus is to facilitate the integration of different research activities in order to foster the development of commercial service robots. Research topics such as autonomous navigation, object and people recognition, human-robot interaction, object manipulation, ethical issues, and many others, currently treated as separate independent problems, have to be combined in order to produce effective solutions to achieve effective robots.
Robots are about to move out of the research lab and enter into our everyday life, more or less like computers did in the early 1980s. Progress depends on supporting the enablers for this transition, and this is what we are about.
| Cloud robotics: connect robots to a cloud computing and allow robots to off-load more computationally intensive tasks and even originate a more flexible and cooperative machine learning mechanism.
Application Store: adopt standards and
robots architecture to provide a common framework for developers of robotic services, functionalities and capability 'Hw independent".
| Identify and set up a community with university, research institutes and companies to sharing and developing common interest solutions.
Real applications: important focus on the dissemination and transfer of technology.
More information can be found in the Service Robotics web page.
Intelligent Distribuited Video Systems
for Surveillance & Quality Inspection