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About

Lixun Zhang is a prolific robotics and rehabilitation engineering researcher whose work spans human-robot interaction, cable-driven systems, parallel mechanisms, and assistive technologies. With over 200 cumulative citations, Zhang has made sustained contributions to the field of medical and rehabilitative robotics, demonstrating both technical depth and humanitarian purpose. Zhang's most influential work focuses on designing intelligent robot systems for patient rehabilitation. His 2006 impedance-controlled arm rehabilitation robot, the most cited of his publications, pioneered trajectory-guided wrist rehabilitation for stroke patients. This was complemented by subsequent research into lower limb rehabilitation robots and a cable-driven astronaut rehabilitative training robot capable of simulating complex physical exercises to combat space adaptation syndrome — a particularly innovative application bridging aerospace medicine and robotics. His expertise in cable-driven parallel robots, configuration optimization, and tension distribution algorithms has advanced precision and performance in next-generation robotic architectures. Earlier foundational work on collaborative robots (cobots) and parallel mechanism simulation reflects a career-long commitment to safe, effective human-robot collaboration. More recently, Zhang has expanded into food science dynamics and AI-assisted meal detection for assistive robots, showcasing his adaptability as a researcher. His diverse yet coherent body of work makes him a notable figure in applied robotics research.