Yu Zhuang
Papers
5
Total Citations
320
H-Index
5
About
Yu Zhuang is a leading researcher in rehabilitation robotics, with a focus on developing intelligent, human-centered control systems for lower limb exoskeletons. Their work centers on integrating electromyography (EMG) signals and musculoskeletal models to enable robots to interpret human motion intention and provide compliant, adaptive assistance. Zhuang’s major contributions include pioneering adaptive admittance control schemes that synchronize robot torque with voluntary human effort, significantly improving human–robot interaction for stroke rehabilitation. Their most cited paper (97 citations) introduces an EMG-driven musculoskeletal model for adaptive admittance control, while another highly influential work (90 citations) demonstrates enhanced human–robot synchronization through the same approach. Zhuang has also advanced assist-as-needed (AAN) controllers that prioritize patient active participation, a critical step toward personalized neurorehabilitation. With over 300 total citations across their top papers, Zhuang’s research has direct clinical impact, validated in studies with both able-bodied individuals and stroke survivors. Their work bridges biomechanics, control theory, and clinical application, making them a key figure in the development of next-generation rehabilitation technologies that are safer, more responsive, and more effective.
Research Focus
Key Achievements
Top Papers
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