Collaborative robotics for a natural and effective physical human-robot interaction

The workshop aims to delve into the topic of collaborative robotics, with specific emphasis on natural and effective physical human-robot interaction. Such a topic, in fact, is extremely important in numerous contexts, such as industrial, assistive, and rehabilitation settings. Applications span co-transportation, co-assembly, collaborative mobile platforms, exoskeletons, etc. In these scenarios, the control of the human-robot interaction is important from many points of view. Safety is one of the highest priority KPIs: the human is in contact with the robot, and in some cases (e.g., exoskeletons) constrained to it. A natural interaction is also important to be established, to implement effective collaboration. Customized and adaptive controllers have also to be designed, so that a tailored robot behavior can be applied for each specific user. In this context, the following topics will be addressed in the workshop: - Human state monitoring - Adaptive control strategies - Machine learning for collaborative control - Active preference learning for tailored interaction control tuning - Exoskeleton control design and optimization