Papers
7
Total Citations
89
H-Index
6
About
Xuewei Wu is a leading researcher in robotics and control systems, with a focused expertise in the design and autonomous operation of aircraft skin inspection robots. Their work addresses critical challenges in non-destructive testing, particularly in developing advanced control strategies for robots that must adhere to complex, curved surfaces. Wu's major contributions include pioneering a self-adjusted adsorption strategy that enables secure attachment during inspection, and the development of adaptive extended state observer-based nonsingular terminal sliding mode control for precise trajectory tracking. Their research also tackles complex system dynamics, such as time delays and disturbances, through predictor-based adaptive feedback control and switching motion control using backstepping schemes and Nussbaum disturbance observers. With over 80 citations across their most influential papers, Wu's work has significantly advanced the reliability and autonomy of inspection robots. Notably, their 2021 study on event-driven adaptive near-optimal tracking control represents a key achievement in optimizing robot performance under partially unknown system conditions, demonstrating Wu's impact on both theoretical control engineering and practical aerospace maintenance applications.
Research Focus
Key Achievements
Top Papers
- 1Self-adjusted adsorption strategy for an aircraft skin inspection robot25 citations · 2018
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