Papers
3
Total Citations
68
H-Index
3
About
Dawen Xu is a leading researcher in rehabilitation robotics and human–machine interaction, with a focus on restoring motor function for individuals with upper and lower extremity impairments. Their work bridges biomechanical modeling, soft robotics, and intelligent control to create more natural, adaptive assistive devices. A key contribution is the development of a sEMG-based joint torque estimation strategy that integrates Hill-type muscle models with neural networks, enabling more accurate prediction of user intent for powered exoskeletons (28 citations). Xu also pioneered a soft cable-driven hand exoskeleton designed for assisted rehabilitation training, addressing the critical need for lightweight, comfortable, and effective devices for hand motor dysfunction (26 citations). In the domain of control systems, they introduced an integral fuzzy sliding mode impedance control method using time delay estimation for upper extremity rehabilitation robots, significantly improving cooperative training stability and safety (14 citations). With a growing citation impact, Dawen Xu’s work is shaping the next generation of wearable rehabilitation technologies, making therapy more accessible and personalized for patients recovering from stroke, injury, or neurological conditions.
Research Focus
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