IAS-LAB PUBLICATIONS
Aging Well in an Aging Society
Authors: Aging Well in an Aging Society; AREA MIN. 09 - Ingegneria industriale e dell'informazione; Non assegn; AREA MIN. 06 - Scienze mediche; ITA
1778086328412 – 1778086328412
Authors: LECTURE NOTES IN COMPUTER SCIENCE::journal56048::600; Non assegn; AREA MIN. 09 - Ingegneria industriale e dell'informazione
AREA MIN. 09 – Ingegneria industriale e dell’informazione||Non assegn||AREA MIN. 09 – Ingegneria industriale e dell’informazione||AREA MIN. 09 – Ingegneria industriale e dell’informazione – I-RIM
Authors: AREA MIN. 09 - Ingegneria industriale e dell'informazione; Non assegn
2014
Authors: false; RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS ROBOT AUTON SYST
Journal: Goal 3: Good health and well-being###25122
Published: 1316
DOI: 60000481||60069769||60000481||60000481||60000481
9
Volume: Ghidoni||Anzalone||Munaro||Michieletto||Menegatti Pages: Stefano||Salvatore M.||Matteo||Stefano||Emanuele-Intelligent Autonomous Syst Lab||Inst Syst Intelligents & Robot||Intelligent Autonomous Syst Lab||Intelligent Autonomous Syst Lab||Intelligent Autonomous Syst Lab
2014
Authors: false; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ROBOT AUTON SYST
Journal: Goal 11: Sustainable cities and communities###25130
Published: 1239
DOI: 60000481||60007511||60008783
9
Volume: Menegatti||Lee||Lee Pages: Emanuele||Sukhan||Jangmyung-Sch Engn||Sch Informat & Commun Engn||Sch Elect Engn
2013
Authors: false; RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS COMPUT IND
Journal: Yan So||Munaro||Michieletto||Tonello||Menegatti
Published: 1237
DOI: 60000481||60000481||60000481||113664825||60000481
9
Volume: So||Munaro||Michieletto||Tonello||Menegatti Pages: Edmond Wai Yan||Matteo||Stefano||Stefano||Emanuele-Dept Informat Engn||Dept Informat Engn||Dept Informat Engn||Dept Informat Engn
Human-Robot Collaborative Transportation via Distance-based Role Allocation for Precise Positioning of Flexible Materials
Authors: Terreran Matteo; Gottardi Alberto; Menegatti Emanuele; Ghidoni Stefano
Journal: 2024 IEEE 29TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, ETFA 2024
Published: 2024
DOI: 10.1109/ETFA61755.2024.10711079
Despite the importance of human-robot collaborative transportation of flexible material in many industrial scenarios, many works in the literature assume a passive role for the robot during the collaboration. The robot can only follow the human partner, without providing assistance in the more challenging phase of the collaboration such as precise material positioning. This work presents a framework for co-transportation, proposing a distance-based policy for dynamic leader role allocation through the task. For large distances from the target pose, the robot is mainly controlled by vision-based manual guidance exploiting haptic feedback and 3D human pose information; instead, close to the target material position, the robot acts as a leader guiding the human operator. The proposed framework is evaluated considering a carbon fiber draping task, which requires both co-transportation and precise positioning of flexible materials. Experimental results demonstrate how the robot leading the task in the final stage allows to achieve high task efficiency and alleviates human stress in the execution of the task.
Preference-Based People-Aware Navigation for Telepresence Robots
Authors: Bacchin Alberto; Beraldo Gloria; Miura Jun; Menegatti Emanuele
Journal: INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
Published: 2025
DOI: 10.1007/s12369-024-01131-3
This work proposes an innovative people-aware navigation for telepresence robots in a populated environment based on the estimated inclination of people to interact and the context information. The main novelty of the proposed people-aware shared intelligence is the ability to fuse the remote operator’s commands with the probability of person-robot interaction—from both the operator driving the robot and the people around it—and translate it into semi-autonomous approaching and avoiding behaviors that are not coded a priori but rather dynamically emerge according to the current context-awareness. Experiments involved 45 healthy participants who evaluated the proposed approach on a real robot. Three conditions have been tested: (a) the new people-aware shared intelligence; (b) a shared intelligence system integrated with the standard ROS social navigation layers and; (c) a direct teleoperation (i.e., no robot’s intelligence). Results from our people-aware shared intelligence system have shown that the robot’s social behaviors were in line with the expectations of the participants in terms of comfort, naturalness, and sociability and coherent with the findings from previous studies. Furthermore, the proposed system has facilitated the social interaction between the remote operator and the surrounding people, making the robot more proactive and without affecting navigation performance.
Volume: 17 Pages: 2019-2039
Keywords: Context awareness; Human–robot interaction; People approaching; People-aware navigation; Social signaling understanding;