Papers
25
Total Citations
304
H-Index
8
About
Jinfu Liu is a robotics researcher whose work spans rehabilitation robotics, bio-inspired wall-climbing systems, and soft robotics — fields where engineering innovation directly intersects with human welfare and industrial application. Liu's most influential contribution, "A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation" (2019, 72 citations), introduced a pioneering dual-mode robotic system for lower extremity paralysis recovery, enabling both robot-driven and patient-driven therapeutic modes. Building on this foundation, Liu has advanced robotic mirror therapy frameworks that leverage reinforcement learning to rehabilitate hemiparetic patients, with multiple papers exploring lower limb applications and bilateral robotic systems that adapt intelligently to individual patient needs. Parallel to this clinical work, Liu has made substantial contributions to wall-climbing robotics, developing bio-inspired platforms capable of navigating diverse surfaces — from rough masonry to smooth walls — using innovative spine wheels, adhesive belts, and eddy suction mechanisms, collectively accumulating nearly 100 citations across related publications. More recently, Liu has explored stiffness-tuneable continuum soft robots, expanding the functional boundaries between rigid and compliant robotic systems. Across these diverse domains, Liu's research reflects a consistent commitment to adaptive, biomimetic design principles that bridge fundamental engineering with real-world human and industrial challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Multi-Channel Reinforcement Learning Framework for Robotic Mirror Therapy37 citations · 2020
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- 6Stiffness-Tuneable Segment for Continuum Soft Robots with Vertebrae15 citations · 2022
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- 9Robotic mirror therapy system for lower limb rehabilitation8 citations · 2020
- 10