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About

Fusheng Zha is a robotics researcher whose work spans the intersecting frontiers of exoskeleton systems, legged locomotion, and intelligent robot control. His research has made significant contributions to human-robot interaction, particularly in developing wearable assistive technologies for elderly and physically impaired individuals. His most-cited work, "Towards Online Estimation of Human Joint Muscular Torque with a Lower Limb Exoskeleton Robot" (2018, 49 citations), addresses a critical challenge in active power-assist exoskeletons by enabling real-time estimation of human effort — a breakthrough that moves exoskeleton design beyond passive assistance toward genuinely responsive support. His complementary work on the APAL exoskeleton robot further demonstrates his commitment to practical, human-centered design. Beyond wearable robotics, Zha has advanced biologically inspired control strategies for multi-legged locomotion, including CPG-based hopping control and equilibrium point frameworks for quadrupedal movement. His research on hexapod free-gait control and vision-based terrain property inference reflects a broader ambition to enable robots to navigate complex, unpredictable environments reliably. With over 270 cumulative citations across his top works, Zha has established himself as a versatile contributor bridging biomechanics, robot locomotion, and assistive technology — offering tools that meaningfully advance both rehabilitation engineering and autonomous robotic systems.