Sherwin Stephen Chan
Papers
3
Total Citations
6
H-Index
2
About
Sherwin Stephen Chan is a rising researcher at the forefront of physical human-robot interaction (pHRI), with a focus on assistive and rehabilitation robotics. His work uniquely bridges simulation and real-world application, developing digital twins and soft-body models to make robots safer and more adaptive. Chan’s key contributions include pioneering a physics-based simulation framework for robot-assisted feeding, where he modeled a soft head and articulated jaw to ensure safe, comfortable bite transfer—a critical step for caregiving robots. He also advanced gait rehabilitation by creating a personalized 3D human digital twin with soft-body feet for walking simulation, and a human-in-the-loop (HITL) simulation framework to evaluate control strategies for gait assistive robots. Though early in his career, his work has already garnered citations, with his most prominent paper on safe bite transfer accumulating 3 citations since 2025. Chan’s research is notable for its emphasis on realistic, soft-body modeling and user-centered design, directly addressing the challenges of an aging population. His simulation-first approach promises to accelerate the development of intuitive, safe assistive technologies, marking him as a promising voice in the future of human-centered robotics.
Research Focus
Key Achievements
Top Papers
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