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About

Qinjian Li is a robotics and control systems researcher whose work sits at the intersection of wearable robotics, prosthetics, and human-machine interaction. His research primarily focuses on developing intelligent control frameworks for lower-limb exoskeletons and robotic leg prostheses, with the overarching goal of restoring and augmenting human mobility in healthcare, military, and industrial contexts. Li's most influential contribution is his 2020 human-in-the-loop control framework for fully actuated lower-limb exoskeletons, which has garnered 132 citations and established him as a notable voice in assistive robotics. This work introduced a novel paradigm for stable dynamic walking by embedding the human operator directly into the control loop. Complementing this, his research on robotic leg prostheses has explored biologically inspired deadbeat control and neural-dynamics optimization to address critical challenges such as joint angle drift in amputee locomotion. Beyond rigid exoskeletons, Li has extended his expertise to soft exosuits, proposing fuzzy-based optimization strategies that enable compliant robot-human-environment interaction. His work also touches on robot localization, combining global visual and semantic observations for outdoor navigation. Together, his portfolio reflects a coherent mission: designing smarter, more adaptive control systems that bridge human biology and robotic technology to meaningfully improve quality of life.