Papers
5
Total Citations
63
H-Index
3
About
Dr. Rui Shan is a leading researcher in intelligent rehabilitation robotics, with a focus on enhancing the safety and intelligence of human-robot interaction systems. Her work addresses the critical shortage of rehabilitation physiotherapists by developing advanced walking training robots that can autonomously and safely interact with patients. Dr. Shan’s major contributions include pioneering direct switching between passive and active training modes, a breakthrough that significantly improves the adaptability and security of rehabilitation sessions. Her research also introduces predictive control and velocity observer methods, optimized through particle swarm optimization (PSO) for path planning, and safety-triggered stochastic tracking control to manage internal disturbances. Notably, her each step time-limited iterative learning control model solves velocity mutation problems, ensuring smooth and constrained motion. With over 60 citations across her top papers, Dr. Shan’s work has been recognized for its impact on human-machine interaction environments, including data-driven tracking control that guarantees safe autonomous motion. Her achievements are pivotal in advancing the field of rehabilitation robotics, making therapy more accessible and effective.
Research Focus
Key Achievements
Top Papers
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