Papers
1
Total Citations
17
H-Index
1
About
Lian Xu is a researcher in rehabilitation robotics and biomechatronics, with a focus on developing assistive technologies for human movement recovery. Their work centers on the estimation of joint dynamics using surface electromyography (sEMG) signals, particularly for ankle rehabilitation. In their most-cited paper, "Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots" (2019), Xu introduced a novel approach to predict ankle torque and angle from muscle activity, enabling more intuitive control of robotic exoskeletons and prosthetics. This contribution bridges the gap between neural signals and mechanical assistance, enhancing the responsiveness of rehabilitation devices. With 17 citations, this work has influenced subsequent studies in human-robot interaction and adaptive control for assistive robots. Xu’s research is pivotal for advancing personalized rehabilitation, offering hope for improved mobility in patients with neuromuscular impairments. Their dedication to integrating biosignal processing with robotics underscores a commitment to creating smarter, more empathetic assistive systems.
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