Developing Robots in a World of Humans: Enhancing Dexterity, Autonomy, and Personalised Interaction

14:30–Introduction to the LUTIN Laboratory Seminars

Salvatore Anzalone : Laboratoire CHArt, Directeur du LUTIN – UniversitéParis 8

14:40 – The Intelligence of the Hand

Lorenzo Jamone : Department of Computer Science – University College London

Human dexterity remains unmatched by modernrobots, yet developing more dexterous robotic systems is crucial for tackling tasks in semi-structured, unstructured, and hazardous environments. My team is dedicated to studying "the intelligence of the hand", in humans and robots, to bridge this gap andenhance the functionality and intelligence of robotic hands. In this talk, I will share highlights from our recent work in tactile perception, haptic exploration, grasping, and manipulation, showcasing how these advancements are bringing us closer to creating truly dexterous robots.

15:20 – Body Movement Analysis and Intelligent Tutoring System for Robot Coaches

Sao Mai Nguyen : ENSTA – Institut Polytechnique de Paris

Relying on human pose estimation methods, we have proposed a humanoid robot coach to socially assist patients during their physical rehabilitation care and imitation games with ASD children. The motion analysis algorithm was tested during clinical trial. More autonomy can be given to the robot coach with an intelligent tutoring system personalising the curriculum by choosing the most appropriate exercise. We seek to develop an algorithm for recommending exercises based on empirical measures of progress.

16:00 – Conclusions and visit of LUTIN laboratory

Le séminaire se tiendra le 3 Mars 2025, de 14h30 à 16h, au LUTIN, Cité des Sciences, Etage -2. Nous localiser sur google map

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Biographies

Lorenzo Jamone

Lorenzo Jamone is an Associate Professor in Robotics & AI at the Department of Computer Science of University College London (UCL), where he leads the CRISP group: Cognitive Robotics and Intelligent Systems for the People. He is also a Senior Lecturer in Robotics at the School of Engineering and Materials Science (SEMS) of the Queen Mary University of London (QMUL), where he is associated with ARQ (Advanced Robotics at Queen Mary). He received the MS degree (honors) in computer engineering from the University of Genoa, Italy, in 2006, and the PhD degree in humanoid technologies from the University of Genoa and the Italian Institute of Technology, in 2010. He was Associate Researcher at the Takanishi Laboratory, Waseda University (Tokyo, Japan) from 2010 to 2012, and at the Computer and Robot Vision Laboratory, Instituto Superior Técnico (Lisbon, Portugal) from 2012 to 2016. He has over 140 publications with an H-index of 31. His current research interests include cognitive robotics, robot learning, robotic manipulation, tactile sensing.

Sao Mai Nguyen

Sao Mai Nguyen is currently an Assistant Professor in Robot Learning at Ensta, IP Paris. She specializes in cognitive-developmental learning, reinforcement learning, imitation learning, and curriculum learning for robots and human activity recognition. She received her engineering degree from École Polytechnique, Palaiseau, France, her MEng in adaptive machine systems from Osaka University, Osaka, Japan, and her Ph.D. degree in computer science from Inria. Before joining IP Paris, she was associate professor at IMT Atlantique.Dr. Nguyen acts as an Associate Editor of International Journal of Robotics Research and the Co-Chair of the Task Force “Action and Perception” of the IEEE Technical Committee on Cognitive and Developmental Systems.

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