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About

Kexiang Li is a leading researcher in the field of human-robot interaction, with a primary focus on surface electromyography (sEMG)-based control systems and medical robotics. His most influential work, a comprehensive review of sEMG technologies for human-robot interaction (217 citations), has become a foundational resource for researchers developing intuitive, muscle-signal-driven interfaces. Li’s contributions are particularly significant in the domain of vascular interventional surgery (VIS) robotics, where his review of critical catheterization technologies (29 citations) has informed the design of safer, more precise robotic systems for drug delivery, stent expansion, and thrombectomy. He has also advanced the estimation of continuous human joint motion, developing novel methods to predict elbow movement and time-varying stiffness using physiological structure and sEMG signals—work that directly supports the development of high-compatibility exoskeletons and powered prosthetics. His recent variable admittance control approach (2024) addresses the critical challenge of human-robotic compatibility in wearable systems, while his ongoing investigation into muscle fatigue characterization (2025) promises to enhance the safety and accuracy of prolonged human-robot collaboration. Li’s research bridges fundamental biomechanics with practical robotic applications, making him a pivotal figure in the evolution of assistive and interventional robotics.