Xiaoqin Yang
Papers
2
Total Citations
9
H-Index
2
About
Dr. Xiaoqin Yang is a pioneering researcher at the intersection of advanced robotics and biomedical engineering, with key contributions spanning intelligent control systems and robotic-assisted orthopedic surgery. Her work in adaptive control theory is exemplified by her highly cited 2022 study on "Adaptive Prescribed Performance Fuzzy Control for n-Link Flexible-Joint Robots Under Event-Triggered Mechanism," which has garnered 7 citations and addresses critical challenges in precision and efficiency for complex robotic manipulators. This foundational research has implications for industrial automation and next-generation prosthetic devices. In a notable translational achievement, Dr. Yang's 2026 study on "Analysis of the clinical efficacy of robot-assisted left total knee arthroplasty performed by surgeons with varying levels of experience" (2 citations) breaks new ground by demonstrating how robotic assistance can standardize surgical outcomes across expertise levels. This work directly addresses a pressing clinical need—reducing variability in joint replacement surgeries performed by right-handed surgeons of different experience tiers. By bridging theoretical control systems with practical surgical applications, Dr. Yang is shaping a future where robotics enhances both machine precision and human surgical capability.
Research Focus
Key Achievements
Top Papers
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