Yueling Lyu
Papers
6
Total Citations
70
H-Index
4
About
Yueling Lyu is a leading researcher in rehabilitation robotics, specializing in the design and control of intelligent, patient-centered robotic systems for both upper and lower limb therapy. Her work focuses on enhancing robot compliance and patient safety through innovative control strategies, including assist-as-needed (AAN) controllers that actively incorporate voluntary participation, and admittance control with joint space constraints. Lyu’s most cited paper, “Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot” (2022, 25 citations), introduces a novel framework that adapts robotic assistance based on both movement performance and active patient engagement—a significant step toward personalized rehabilitation. She has also advanced myoelectric control for upper limb robots using muscle-synergy-inspired methods (2024, 23 citations), improving generalization in 3-D motion intention estimation. Her broader contributions include fast finite-time tracking control for cable-driven parallel robots and adaptive compliance control based on online joint stiffness estimation. With a growing citation record and a clear focus on translating robotic assistance into safer, more responsive therapy, Lyu is shaping the future of human-robot interaction in clinical rehabilitation.
Research Focus
Key Achievements
Top Papers
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