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About

Huimin Shen is a pioneering researcher at the forefront of human-centric robotics and bioelectronics, with a focus on creating seamless interfaces between humans and machines. Her work spans human motion digital twins, assistive robotics, and tactile perception, aiming to enhance human well-being and autonomy. Shen’s most cited paper, “Toward Human Motion Digital Twin: A Motion Capture System for Human-Centric Applications” (2024, 27 citations), introduces a foundational framework for using inertial motion capture to build digital twins that prioritize human development and safety. She also developed a multi-motion control system (2015, 9 citations) that enables severely disabled individuals to operate assistive devices using bioelectric signals from a single dry electrode on the forehead, demonstrating practical advances in accessibility. In “Surface Recognition With a Tactile Finger” (2024, 8 citations), Shen leverages deep learning to automate feature extraction, reducing reliance on hand-crafted methods for tactile perception. Her work on flexible bioelectronics (2024, 6 citations) and compliant human-robot interaction for rehabilitation exoskeletons (2024, 3 citations) further underscores her commitment to adaptive, user-friendly technologies. With a growing citation impact, Shen is shaping the future of human-robot collaboration, making technology more intuitive and inclusive.