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About

Ziyan Shao’s research lies at the intersection of compliant robotics, rehabilitation exoskeletons, and intelligent motion planning, with a focus on creating safer, more adaptive systems for human-robot interaction. Her most influential work, “Development and hybrid force/position control of a compliant rescue manipulator” (42 citations), established foundational methods for controlling flexible robots in unpredictable environments—critical for search-and-rescue operations. Shao has made significant contributions to bio-inspired actuation, including a tendon-sheath system modeled after Hill-type muscles (8 citations) and a soft elbow exosuit using a double artificial tendon system (2 citations), which address the nonlinearities and stroke limitations of traditional artificial muscles. Her recent work on mobile robot path planning (8 citations) tackles the persistent challenge of local minima in artificial potential field algorithms, improving navigation in complex settings. Shao also developed a wearable multi-sensor system for estimating lower limb joint torque during stair climbing (2 citations), directly supporting torque-controlled exoskeletons for rehabilitation. By combining force control, compliant actuation, and human biomechanics, Shao’s research advances both rescue robotics and assistive devices, with clear translational potential for stroke and spinal cord injury rehabilitation.