Yuge Li

Huazhong University of Science and Technology

Papers

Total Citations

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About

Yuge Li is a leading researcher in the field of wearable robotics and human-machine collaboration, with a primary focus on lower-limb exoskeleton control and rehabilitation technology. Their work centers on two critical challenges: accurately recognizing human motion intent and generating natural, synergistic movement trajectories for assistive devices. Li’s most impactful contribution, published in 2024, tackles the problem of lower-limb motion intent recognition using a novel sensor fusion and fuzzy multitask learning framework. This work addresses the inherent noise and unreliability of electromyogram (EMG) signals, a common bottleneck in wearable robot control, and has already garnered 28 citations, demonstrating its immediate relevance to the field. In a complementary study from 2022, Li explored hip joint trajectory generation by leveraging human limb motion synergy, aiming to create more intuitive and effective control strategies for exoskeletons used in hemiplegic rehabilitation. This research is pivotal for improving human-machine collaboration, enabling smoother and more adaptive assistance for patients. Li’s work is essential reading for students and engineers developing next-generation assistive technologies, offering practical solutions to bridge the gap between human physiology and robotic control.