Papers
11
Total Citations
77
H-Index
5
About
Xiufeng Zhang is a leading researcher in rehabilitation robotics and wearable sensing systems, with a focus on restoring motor function for individuals with neurological impairments. His work spans upper and lower limb rehabilitation, human motion analysis, and surgical robotics. Zhang’s most cited paper, “A Flexible Sensor and MIMU-Based Multisensor Wearable System for Human Motion Analysis” (2023, 20 citations), addresses magnetic disturbance errors in motion tracking, advancing clinical gait detection and robotics control. He has made significant contributions to sEMG-based pattern recognition for upper limb rehabilitation robots, enabling natural shoulder-elbow motion control (2018, 11 citations). His innovative designs include a hemiplegic upper limb training system (2018, 11 citations) and a three-dimensional force-sensing microgripper for minimally invasive surgery (2018, 10 citations). Zhang also developed a passive hydraulic auxiliary system to enhance legged robot payload and efficiency (2021, 8 citations), and pioneered hybrid human-machine interaction using “hand gestures + facial expressions” for rehabilitation robots (2022). With over a decade of impact, his work bridges robotics, biomechanics, and clinical therapy, offering practical solutions for neurorehabilitation and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 6A Novel Robot Neurorehabilitation for Upper Limb Motion4 citations · 2005
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- 8Robotic aid for upper limb rehabilitation3 citations · 2006
- 9RESEARCH OF PRECISE PARALLEL ROBOT CONTROL METHOD AND SYSTEM3 citations · 2004
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