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About

Linyong Shen is a pioneering researcher in medical robotics and sensor technology, with a career spanning over two decades. His work focuses on three key areas: fiber Bragg grating (FBG) sensors for surgical instruments, rehabilitation exoskeletons, and autonomous robot navigation. Shen’s most significant contribution is the development of FBG-based shape reconstruction for catheters and flexible surgical robots, enabling real-time, high-precision position tracking in procedures like trans-oral laryngeal surgery and cardiac catheterization. His 2020 paper on catheter fabrication and shape detection has garnered 15 citations, while his 2021 work on thin-diameter sensor accuracy—critical for breast tumor needle positioning and intestinal endoscopy—has been cited 10 times. Shen also advanced rehabilitation robotics, proposing novel methods to measure human-robot coupling force during exoskeleton-assisted training (6 citations) and optimizing lower extremity exoskeleton design through finite element analysis. His early research on colonoscopic robot locomotion principles (2001) laid groundwork for minimally invasive diagnostics, and his 2019 work on indoor semantic mapping for robot navigation demonstrates his versatility. With over 68 total citations across his top 10 papers, Shen’s interdisciplinary approach continues to shape surgical precision, rehabilitation technology, and autonomous systems.