Papers
4
Total Citations
46
H-Index
3
About
Chenyang Sun is a rising researcher at the intersection of rehabilitation robotics, human motor control, and neurorehabilitation. Their work focuses on developing robotic systems that restore and enhance physical function for individuals with limb disabilities, particularly through bimanual and ankle rehabilitation. Sun’s most cited paper (22 citations) introduces a robotic system that delivers multiple physically bimanual tasks via varying force fields, addressing a critical gap in simulating activities of daily living for rehabilitation. They further explore bilateral asymmetry in hand force production during dynamic tasks (13 citations), advancing understanding of how the two arms coordinate under physical coupling. Sun also contributes to neurofeedback methods, demonstrating the within-session reliability of functional near-infrared spectroscopy (fNIRS) for robot-assisted upper-limb training (9 citations). Their most recent work (2025) achieves physician-level performance in robot-assisted ankle rehabilitation through imitation learning with empirical and temporal adaptation, showcasing a novel two-level kernelized movement primitives algorithm. With a growing citation record and a focus on translating robotic assistance into clinically meaningful outcomes, Sun’s research is shaping the future of personalized, data-driven rehabilitation.
Research Focus
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Top Papers
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