Papers
1
Total Citations
48
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1
About
Chu Yang is a leading researcher in rehabilitation robotics, with a primary focus on human-robot interaction systems for upper limb exoskeletons. His most cited work, “Design and verification of a human–robot interaction system for upper limb exoskeleton rehabilitation” (2020, 48 citations), introduces a novel motion intent recognition system that leverages altitude signal sensors to significantly enhance the performance of exoskeleton robots during rehabilitation training. A key technical contribution is his development of a modified adaptive Kalman filter integrated with clipping filtering, which improves the accuracy and responsiveness of the system. This work directly addresses the challenge of seamless, intuitive control in assistive devices, making rehabilitation more effective for patients. Yang’s research has been recognized for its practical impact on clinical rehabilitation, and his innovations in sensor fusion and adaptive filtering continue to influence the design of next-generation wearable robots. His contributions are essential reading for students and engineers working at the intersection of robotics, control systems, and human-centered design.
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Top Papers
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