Xinyan Zhao

University of Science and Technology of China, Chinese University of Hong Kong

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About

Xinyan Zhao is a researcher at the forefront of rehabilitation robotics and human-robot interaction, with a focus on developing intelligent assistive technologies for lower-limb mobility. Her key research areas include gait rehabilitation, shared autonomy control, and wearable robotic systems. Zhao’s major contributions center on adaptive trajectory generation for active knee orthoses, where she pioneered a method that uses motion data from a patient’s unaffected side to create symmetric reference trajectories for the affected limb—a critical advancement for hemiplegic gait training. She also developed a real-time gait phase estimation system using multi-source flexible sensors, enabling precise, portable, and user-friendly human-robot interaction. With over 8 citations across her most cited works, Zhao’s impact is evident in the growing adoption of her sensor fusion and control strategies. Notably, she led the development of the CU-Brick brick-laying cable-driven robot for real-world construction projects, showcasing her ability to translate lab research into practical applications. Her work bridges the gap between clinical rehabilitation needs and cutting-edge robotics, making her a rising figure in assistive technology.