Papers
2
Total Citations
19
H-Index
2
About
Yunfei Tao is a researcher focused on advancing robotic rehabilitation and human-robot interaction, particularly for lower limb assistance. His key research areas include motion intention recognition, exoskeletal robotics, and hybrid control systems for rehabilitation. Tao’s major contribution lies in developing a multi-channel surface electromyography (sEMG) based method to accurately recognize human lower limb motion intentions, addressing a critical challenge in exoskeletal robot control. By using cepstrum distance for automatic endpoint detection of sEMG signals, his work enhances the responsiveness and safety of assistive devices. His 2019 paper on this method has garnered 16 citations, reflecting its relevance in the field of biomechatronics. Additionally, Tao has contributed to hybrid position/force control strategies for robotic rehabilitation of sitting or lying lower limbs, as seen in his 2018 work. These achievements demonstrate his commitment to creating intuitive, adaptive robotic systems that improve mobility and recovery outcomes for individuals with lower limb impairments.
Research Focus
Key Achievements
Top Papers
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