Renyu Yang
Papers
6
Total Citations
53
H-Index
4
About
Renyu Yang is a robotics and control systems researcher whose work sits at the intersection of rehabilitation engineering and advanced control theory. Specializing in assistive robotic systems, Yang has made significant contributions to the development of intelligent controllers for lower limb and ankle rehabilitation robots, with a particular focus on enhancing patient safety, compliance, and active engagement during therapy. Yang's most influential work, garnering 25 citations, introduced a voluntary assist-as-needed (VAAN) controller that uniquely accounts for patients' active participation — not just movement performance — representing a meaningful step forward from conventional rehabilitation robotics paradigms. Beyond patient-centered control, Yang has advanced admittance control strategies incorporating joint space constraints and linear quadratic regulation optimization techniques, ensuring natural and safe human-robot interaction. Notable contributions also extend to cable-driven parallel robots, including fast finite-time tracking control and reinforcement-learning-based adaptive admittance strategies for continuous rehabilitation mode adaptation. Collectively, Yang's portfolio demonstrates a coherent research vision: building smarter, more responsive robotic rehabilitation systems that adapt dynamically to individual user needs. With growing citation counts across publications from 2019 to 2022, Yang's work is steadily gaining recognition as a valuable reference for researchers and clinicians working to advance next-generation rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
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