Kaibo He
Papers
2
Total Citations
22
H-Index
2
About
Kaibo He is an emerging researcher at the intersection of rehabilitation robotics, human-machine interaction, and embodied intelligence. His work addresses two interconnected challenges: making rehabilitation technology more accessible and deepening our computational understanding of human motor control. In the area of upper-limb rehabilitation, He has developed adaptive learning-based training systems that leverage collaborative robots to enable home-based therapy, significantly expanding treatment accessibility for patients with motor disabilities while reducing dependence on specialized clinical facilities. Complementing this practical engineering work, his research on full-body human musculoskeletal modeling pioneers hierarchical low-dimensional representations to simulate and control complex human locomotion — advancing both our theoretical grasp of motor functions and the design of more intuitive human-robot interaction systems. Both of his most-cited papers, each accumulating 11 citations since publication, demonstrate a rare ability to bridge biomechanical modeling with real-world robotic application. Though early in his career, He's contributions position him as a promising voice in embodied intelligence and assistive robotics, fields with profound implications for healthcare, rehabilitation engineering, and next-generation human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2