Xiangxing Liu

Ningbo Institute of Industrial Technology

Papers

Total Citations

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About

Xiangxing Liu is a leading researcher in rehabilitation robotics, with a primary focus on human-robot interaction and assistive technologies for stroke recovery. His work centers on developing intelligent upper limb rehabilitation robots that can detect and respond to human motion intent, bridging the critical gap between robotic assistance and natural patient movement. Liu’s most cited paper (2019, 15 citations) introduces a sensorless force estimation method for end-effect upper limb rehabilitation robot systems, incorporating friction compensation to improve interactive performance. This work is notable for its use of a disturbance observer to estimate interactive forces, enabling more intuitive and effective rehabilitation training. His earlier research (2017) explored surface electromyography (sEMG) characteristics during circle-drawing tasks on the EULRR system, contributing to the understanding of motor skill relearning in stroke patients. Liu’s contributions are particularly impactful in advancing robot-assisted task-specific training, an evidence-based approach for improving upper limb function in adult disability. His work continues to shape the development of safer, more responsive rehabilitation technologies that adapt to individual patient needs, making him a key figure in the field of medical robotics and neurorehabilitation.