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About

Guqiang Li is a leading researcher in rehabilitation robotics and compliant actuation, with a focus on creating safer, more adaptive human-robot interactions. His major contributions center on the design of lightweight, variable stiffness actuators (VSAs) and intelligent control strategies for robotic rehabilitation. Notably, his 2023 work on a Lightweight Series Elastic Actuator with Variable Stiffness (LVSA)—featuring a novel four-slider mechanism—has garnered 38 citations for enabling wide-range continuous stiffness modulation with a single motor, a breakthrough for compact, safe robotic joints. Li also pioneered data-driven adaptive iterative learning control for a compliant ankle rehabilitation robot (CARR) using pneumatic muscles, achieving 24 citations for its ability to handle nonlinear dynamics in repetitive training. His quantitative spasticity measurement method, integrating sEMG with maximal voluntary contraction, offers a reliable alternative to subjective scales like the modified Ashworth scale. With a growing citation record and a focus on translating soft actuation into clinical impact, Li’s work is shaping the next generation of wearable and rehabilitation robots that prioritize both performance and patient safety.