Papers
10
Total Citations
137
H-Index
6
About
Jinke Li is a leading researcher in the field of rehabilitation and assistive robotics, with a primary focus on the design and control of self-balancing lower-limb exoskeletons. His major contributions center on developing intelligent systems that enable paraplegic patients and individuals with mobility impairments to walk, stand, and perform rehabilitation movements without crutches or external support. Li’s work on AutoLEE-II, a biomimetic self-balancing exoskeleton, has garnered significant attention (32 citations), showcasing his ability to translate human biomechanics into robotic structures. He has also pioneered the integration of digital twin technology into rehabilitation, creating virtual models that enhance therapy outcomes (19 citations). His research extends to adaptive human-exoskeleton collaboration using sEMG signals (24 citations) and visual footstep planning for navigating complex terrain (13 citations). Beyond rehabilitation, Li has applied his robotics expertise to nuclear inspection, developing a self-localizing robot for steam generator maintenance (19 citations). With a growing body of work that bridges mechanical design, control theory, and human-robot interaction, Li’s research is shaping the future of wearable robotics, offering transformative solutions for both medical rehabilitation and industrial applications.
Research Focus
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Top Papers
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- 9A data-driven shared control system for exoskeleton rehabilitation robot5 citations · 2021
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