Papers
2
Total Citations
8
H-Index
2
About
Xuefeng Cai is a rising researcher in the fields of rehabilitation robotics and human-robot interaction, with a focus on developing intelligent systems for orthopedic and neurological recovery. His work addresses critical challenges in surgical assistance and assistive exoskeleton control, particularly for patients with complex conditions like distal radius fractures and hemiplegic paralysis. Cai’s major contributions include the development of a robot-assisted reduction and rehabilitation system for distal radius fractures, which aims to replace the need for multiple experienced medical staff and enable real-time radiographic assessment during closed reduction—a significant advancement in orthopedic surgery. Additionally, he has pioneered real-time gait intention recognition algorithms for active control of unilateral knee exoskeletons, tackling the difficulty of accurately interpreting the erratic gait patterns of stroke survivors to achieve seamless human-robot synchrony. While his most-cited papers (with 6 and 2 citations, respectively, as of 2024) are early-stage works, they demonstrate high potential for clinical impact. Cai’s research stands out for its direct application to improving patient outcomes, bridging the gap between robotic precision and real-world rehabilitation needs.
Research Focus
Key Achievements
Top Papers
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- 2