Papers
1
Total Citations
5
H-Index
1
About
Yue Dai is a researcher whose work lies at the intersection of rehabilitation robotics and human–robot interaction. Her primary research focuses on the dynamic modeling and control of upper limb rehabilitation robots, with a particular emphasis on human-robot coupling (HRC) dynamics—a critical factor for improving the safety and efficacy of robotic therapy for stroke survivors. In her most cited work, Dai developed advanced methods for modeling the complex physical interactions between a human limb and a robotic exoskeleton, enabling more responsive and adaptive control strategies. Although her citation count is still growing, this foundational paper has already garnered attention for addressing a key bottleneck in rehabilitation robotics: achieving seamless, intuitive human-robot cooperation. Dai’s contributions are particularly notable for bridging theoretical dynamics with practical control design, offering a framework that can be extended to other assistive robotic systems. Her work is essential reading for students and researchers interested in the biomechanics of human-robot systems, rehabilitation engineering, and the next generation of intelligent therapeutic devices.
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Top Papers
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