Advancements in human-robot collaboration, particularly in the fields of prosthetics, exoskeletons, and other robot assisted systems, are transforming healthcare. Key to these innovations are technologies that enable safe, efficient, and intuitive interactions between humans and robots. This workshop will explore critical aspects of human-robot collaboration, focusing on inferring human intent in contact-rich, collaborative scenarios, improving grasping models, and developing metrics that reduce exertion for both humans and robots. These areas of research aim to unlock anthropomorphic motion capabilities, facilitating seamless integration of robots into human environments.

A central objective of the workshop is to explore how machines can predict user movements through underlying kinetic and kinematic mechanics, ensuring stability and safety in complex, contact-intensive interactions. Special emphasis will be placed on how anticipatory behaviors can be incorporated into redundant robotic systems to enhance adaptability and robustness. These advancements are designed to minimize cognitive and physical load on users while maximizing robot performance, improving rehabilitation and assistance outcomes.

The workshop serves as a collaborative platform for experts in biomechanics and robotics, promoting dynamic exchanges of knowledge. By bridging these fields, participants will explore novel strategies for creating user-centric robotic systems that are safe, efficient, and supportive.