About

Linsen Xu is a robotics researcher whose work spans two compelling frontiers: rehabilitation robotics and bio-inspired climbing robots. His research has made meaningful contributions to both human-assistive technology and novel locomotion systems, accumulating over 300 citations across his most recognized publications. In rehabilitation robotics, Xu has pioneered adaptive systems for patients with motor impairments. His most cited work (72 citations) introduced a multi-mode rehabilitation robot using magnetorheological actuators that intelligently estimates human motion intention, enabling seamless transitions between robot-assisted and patient-driven movement. Expanding this foundation, he developed innovative robotic mirror therapy frameworks — applying reinforcement learning and dynamic movement primitives to transfer healthy limb motion to impaired limbs — offering promising solutions for hemiparesis recovery. Parallel to this, Xu has advanced the field of wall-climbing robotics, designing bio-inspired robots capable of navigating diverse surfaces through spine wheels, adhesive belts, and eddy suction mechanisms. His 2020 series of climbing robot papers collectively garnered nearly 100 citations, establishing him as a notable voice in biomimetic locomotion. Xu's career reflects a consistent drive to translate biological principles and intelligent control strategies into practical robotic systems, with clear implications for both medical rehabilitation and industrial inspection applications.

Research Focus

Key Achievements

10
H-Index
45
Papers
460
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation
72 citations · 2019
📈 Most Prolific Year: 2020 (9 Papers)
🤝 Key Collaborators: 78
🏛 Institutions: Chinese Academy of Sciences, Hefei Institutes of Physical Science, Hohai University, Anhui University, University of Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago