Junqiang Li

Papers

Total Citations

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About

Junqiang Li is a researcher specializing in wearable robotics, assistive technologies, and intelligent control systems for human locomotion. His work focuses on developing robotic devices that enhance human mobility and reduce physical strain during walking. A key contribution is his development of a wearable ankle assistance robot, which uses an active energy storage mechanism and gait cycle prediction to reduce energy consumption when walking with varying loads (2023, 5 citations). Li also introduced a speed-independent feedback index for walking pattern recognition, enabling more robust real-time control of robotic suits across different walking speeds (2017, 3 citations). Earlier in his career, he contributed to the design of a magnetorheological (MR) damper for tremor-suppression robots, demonstrating expertise in magnetic circuit design and mechanical performance optimization (2010, 2 citations). Though his citation counts are modest, Li’s work addresses practical challenges in human-robot interaction and assistive robotics, with potential applications in rehabilitation, military, and industrial settings. His research bridges mechanical design and intelligent control, offering innovative solutions for real-world mobility assistance.