Yuexuan Xu
Papers
4
Total Citations
23
H-Index
3
About
Yuexuan Xu is a robotics researcher focused on advancing human–robot interaction in medical and assistive applications. Their primary research areas include fracture reduction robotics, robot-assisted bathing for the elderly, and control of soft robotic systems using pneumatic artificial muscles (PAMs). Xu’s major contributions lie in developing sophisticated control strategies to address real-world challenges: they modeled and compensated for pose errors in a parallel-mechanism fracture reduction robot, improving surgical precision; introduced an impedance sliding mode learning control technique for non-repetitive bathing tasks, enhancing safety and comfort for semi-disabled individuals; and designed an accelerated gradient-based neuroadaptive synchronization controller for antagonistic PAM robot hands, enabling obstacle avoidance and motion constraint handling. Their work has garnered over 20 citations collectively, with the 2022 fracture reduction study receiving 10 citations, reflecting growing interest in their error compensation methods. Notably, Xu’s 2024 and 2025 publications demonstrate a trajectory toward intelligent, adaptive control for complex, real-world tasks—bridging the gap between theoretical robotics and practical healthcare solutions. Their research is particularly relevant for students and engineers working on medical robotics, assistive technology, and nonlinear control systems.
Research Focus
Key Achievements
Top Papers
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