Wanxin Chen
Papers
5
Total Citations
54
H-Index
3
About
Dr. Wanxin Chen is a leading researcher in rehabilitation robotics and human–robot interaction, with a focus on intelligent control systems for assistive technologies. Their work integrates deep learning, compliant actuation, and multimodal sensing to advance lower-limb exoskeletons and gesture recognition for patients with motor impairments. A key contribution is the development of a multi-layer CNN-LSTM network with self-attention mechanisms for robust estimation of nonlinear uncertain systems, which has garnered 21 citations since 2024. Dr. Chen also pioneered the design of a hip–knee–ankle rehabilitation exoskeleton with series elastic actuators, demonstrating systematic human–robot interaction control and clinical evaluation for hemiplegia patients—a paper cited 17 times. Their research on improving hand gesture recognition robustness through multimodal deep feature fusion (12 citations) further underscores their impact in decoding motor intentions. Notably, Dr. Chen introduced the concept of “assistive normality” for hemiplegia gait training, a novel framework addressing interaction evaluation in coupled human–exoskeleton systems. With a growing citation record and contributions to reconfigurable assistive robots, Dr. Chen’s work is shaping the future of intelligent rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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