Papers
10
Total Citations
87
H-Index
5
About
Dr. Ke Li is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intelligent assistive technologies for individuals with motor impairments. Their major contributions span the design and control of wearable robotic exoskeletons, particularly for hand rehabilitation, as demonstrated in their highly cited 2021 work on a sEMG-controlled hand exoskeleton (36 citations) and a 2018 study on post-stroke rehabilitation (14 citations). Dr. Li has advanced the field by integrating surface electromyographic (sEMG) signals with machine learning for intuitive gesture recognition and control, enabling natural human-robot collaboration. Their research also extends to dexterous robotic manipulation, including learning from human demonstration for grasping tasks, and innovative hardware such as a mechanically durable hydrogel synapse for neuromorphic computing. With over 87 total citations across their top-cited works, Dr. Li’s interdisciplinary approach—combining biomechanics, control theory, and soft robotics—has yielded practical solutions for rehabilitation and assistive robotics. Their recent 2025 studies on precision trajectory tracking and optimized fuzzy control for lower-limb exoskeletons further underscore their commitment to enhancing the safety and efficacy of wearable robotic systems, making them a pivotal figure in the advancement of human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 4A Mechanically Durable Hydrogel Synapse10 citations · 2025
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- 7Research on Gesture Recognition of Surface EMG Based on Machine Learning3 citations · 2022
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