Chenglin Xie
Papers
7
Total Citations
118
H-Index
5
About
Chenglin Xie is a robotics and rehabilitation engineering researcher whose work sits at the intersection of human-robot interaction, neural signal processing, and assistive technology. His research focuses primarily on designing and controlling upper and lower limb rehabilitation robots for stroke survivors, with a particular emphasis on leveraging electromyography (EMG) signals to decode human movement intention and enable intuitive, patient-driven therapy. Xie's most influential contribution is his 2021 development of a hybrid arm-hand rehabilitation robot (HAHRR) featuring an EMG-based admittance controller—an integrated system that addresses the often-overlooked coordination between arm and hand during reach-and-grasp recovery, now cited 61 times. His broader body of work advances cable-driven robotic platforms, applying muscle synergy theory, deep LSTM networks, and deep reinforcement learning to overcome longstanding challenges in 3D motion estimation and cable tension optimization. A 2024 paper on muscle-synergy-inspired myoelectric control has already attracted 23 citations, reflecting growing recognition of his contributions. Across his publications, Xie consistently bridges biomechanics and intelligent control, pushing rehabilitation robotics toward more adaptive, patient-responsive systems—work that holds significant promise for improving motor recovery outcomes in clinical settings.
Research Focus
Key Achievements
Top Papers
- 1A Hybrid Arm-Hand Rehabilitation Robot With EMG-Based Admittance Controller61 citations · 2021
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