– Design of (micro)robotic systems<\/strong>: sensors, actuators, complete systems;<\/p>\n\n\n\n – Modeling and control of robotic systems<\/strong>: multi-physics, digital and hybrid (physics + AI) modeling, advanced control;<\/p>\n\n\n\n – Multimodal perception, interaction and HMI<\/strong>: haptics, multisensory perception, vision, force, virtual\/augmented reality, tele-operation and comanipulation, tele-expertise, etc. ;<\/p>\n\n\n\n – Human learning<\/strong>: expert gesture transfer, gesture sequence analysis and generation;<\/p>\n\n\n\n – Machine learning<\/strong>: multi-task and multi-modal analysis, recalibration of partial and multi-modal information;<\/p>\n\n\n\n – Simulation and experimentation<\/strong> (ex vivo and in vivo) of the methods and systems implemented.<\/p>\n\n\n\n – Complex robotic systems with multiple DDLs (rigid or flexible, small or large);<\/p>\n\n\n\n – Specific actuation (piezoelectric, AMF, polymer, magnetic, optical, etc.).<\/p>\n\n\n\n – Interactions and interfaces for physical tasks in extreme situations: design, evaluation and human learning;<\/p>\n\n\n\n – Bilateral haptics (human in the loop).<\/p>\n\n\n\n – Complex (surgery) and\/or poorly understood (microworld) environment;<\/p>\n\n\n\n – High performance requirements in terms of precision, robustness and repeatability.<\/p>\n\n\n\n![\"\"](\"https:\/\/www.isir.upmc.fr\/wp-content\/uploads\/2024\/03\/RPI-Bio-1024x576.png\")
<\/figure>\n\n\n\nScientific challenges and issues<\/strong><\/h3>\n\n\n\n
Robotics: design, modeling and control:<\/strong><\/h4>\n\n\n\n
Human learning, HMI, perception and interaction:<\/strong><\/h4>\n\n\n\n
Advanced control in a constrained and dynamic environment:<\/strong><\/h4>\n\n\n\n
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