Xuechao Qiu
Papers
2
Total Citations
30
H-Index
2
About
Xuechao Qiu is a leading researcher in advanced control systems, with a primary focus on the intelligent control of robotic manipulators and exoskeletons. His work masterfully bridges the gap between theoretical control engineering and practical robotic applications, particularly in addressing the challenges of nonlinear dynamics, external disturbances, and physical constraints. A major contribution is his development of an event-triggered adaptive neural network control strategy, which not only manages time-varying output constraints using a novel asymmetric barrier Lyapunov function but also significantly reduces communication load, a critical advancement for efficient robotic operation. Complementing this, his pioneering work on model-free adaptive iterative sliding mode control for robotic exoskeletons has provided a robust, data-driven solution for precise trajectory tracking without requiring an exact system model. With his most-cited papers accumulating over 30 citations, Qiu’s research is highly regarded for its practical impact on rehabilitation robotics and human-robot interaction, establishing him as a key innovator in the field of adaptive and event-triggered control systems.
Research Focus
Key Achievements
Top Papers
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- 2