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About

Zhihang Shen is a robotics researcher whose work sits at the intersection of rehabilitation engineering and intelligent control systems. His primary research focuses on developing advanced control strategies for lower limb rehabilitation robots, with particular emphasis on assist-as-needed (AAN) controllers and adaptive impedance control. Shen’s most significant contribution is the design of a voluntary AAN controller for ankle power-assist rehabilitation robots, which uniquely considers both movement performance and active patient participation—a crucial advancement over conventional AAN approaches that ignore patient engagement. His 2019 paper on admittance control with inner adaptive robust position control for lower limb rehabilitation robots has garnered 47 citations, demonstrating substantial impact in the field. Shen has also explored fuzzy logic-based PID control for trajectory tracking in rehabilitation robots and investigated novel actuation methods, including a small legged robot operated by resonant vibrations of cantilever beams. His work on torque tracking impedance control for 3DOF rehabilitation robots further showcases his expertise in human-robot interaction dynamics. Through these contributions, Shen has advanced the development of more responsive, patient-centered rehabilitation robotics that can adapt to individual needs during therapy.