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About

Zhuang Han is a dedicated researcher in the field of rehabilitation robotics, with a primary focus on the dynamical stability and robust control of cable-driven and hybrid-driven lower-limb rehabilitation systems. His work addresses critical challenges in ensuring safe and effective robot-assisted therapy for patients with mobility impairments. Han’s major contributions include developing advanced frameworks for analyzing the dynamical stability of under-constrained cable-driven lower-limb rehabilitation training robots (CLLRTR), where he introduced solutions for wrench closure and stability indices to guarantee system reliability. He has also pioneered robust control strategies for uncertain robotic systems, notably through adaptive friction compensation approaches that enhance performance in real-world clinical settings. With his most-cited papers accumulating over 70 citations, Han’s research has significantly influenced the design and control of rehabilitation robots. His notable achievements include the rigorous appraisement and analysis of both rigid-flexible hybrid-driven and purely cable-driven robots, providing foundational insights that bridge theoretical mechanics and practical rehabilitation engineering. Han’s work continues to inspire safer, more adaptive robotic solutions for human motor recovery.