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About

Bai Chen is a robotics researcher whose work spans medical robotics, cable-driven mechanisms, bionic systems, and advanced control strategies. With a career bridging fundamental mechanical design and cutting-edge surgical applications, Chen has made meaningful contributions to how robots are built, controlled, and deployed in sensitive environments. Chen's most influential contribution, "Design and Modeling of Motion-Decoupling Mechanism for Cable-Driven Joints" (2018, 23 citations), addresses a critical engineering challenge in cable-driven robots — motion coupling — proposing solutions that enhance the precision and usability of systems suited for medical instruments and home service applications. Complementing this, his 2020 work on catheter robot shape sensing using fiber Bragg grating sensors demonstrates a commitment to patient safety in cardiac interventional surgery, integrating smart sensing with feedback control. Beyond surgical robotics, Chen has explored vibrotactile wearable systems for teleoperation guidance, model-free trajectory tracking control using adaptive sliding mode frameworks, and early-career bionic swimming robots inspired by tadpole locomotion. His interventional micro-robot research further reflects a sustained interest in miniaturized systems for clinical use. Collectively, Chen's work reveals a researcher dedicated to bridging mechanical innovation with real-world medical and human-robot interaction challenges, making him a notable figure in applied surgical and service robotics.