Papers
10
Total Citations
179
H-Index
6
About
Yanghui Zhu is an emerging researcher at the forefront of rehabilitation robotics and human-robot interaction, with a particular focus on exoskeleton systems, variable stiffness actuators, and surface electromyography (sEMG)-driven control strategies. His work addresses one of rehabilitation engineering's most pressing challenges: restoring motor function in patients with movement disorders through intelligent, compliant robotic assistance. Zhu's most impactful contributions center on variable stiffness exoskeletons, where he has pioneered voluntary control frameworks that leverage sEMG signals to decode user intent and estimate joint torques in real time. His 2022 paper on the VSA-EXO system has accumulated 57 citations, while his subsequent work on physical human-robot interaction control has earned 41 citations, reflecting strong and growing recognition within the field. His neural network-based torque estimation methods and soft cable-driven hand exoskeleton designs further demonstrate his versatility across both upper and lower limb rehabilitation platforms. More recently, Zhu has expanded into energy-efficient passive exoskeleton design, adaptive backstepping control, and human-in-the-loop gait assistance systems. Collectively, his research bridges biomechanics, control theory, and clinical rehabilitation, making him a compelling voice in the next generation of wearable assistive robotics.
Research Focus
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