Congqing Wang
Papers
18
Total Citations
181
H-Index
8
About
Dr. Congqing Wang is a leading researcher in robotics and control systems, with a primary focus on developing intelligent, autonomous solutions for aircraft skin inspection. His work centers on the design and advanced motion control of omnidirectional mobile robots that adhere to curved aircraft surfaces, addressing critical challenges in aviation maintenance. Dr. Wang’s major contributions lie in robust and adaptive control theory, pioneering the use of terminal sliding mode control, adaptive extended state observers, and predictor-based feedback to handle complex system dynamics, including time delays, unmeasurable states, and external disturbances. His most cited work, “Robust Adaptive Terminal Sliding Mode Control of an Omnidirectional Mobile Robot for Aircraft Skin Inspection” (30 citations), exemplifies this impact. He has also ventured into cutting-edge AI integration, as seen in his 2025 paper on LLM-based dynamic waypoint generation for path planning (19 citations). With over 140 total citations across his top ten publications, Dr. Wang’s research is highly influential, providing robust, model-free, and event-driven control strategies that significantly enhance the safety, precision, and autonomy of robotic inspection systems in aerospace.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-adjusted adsorption strategy for an aircraft skin inspection robot25 citations · 2018
- 3
- 4Robust mobile robot path planning via LLM-based dynamic waypoint generation19 citations · 2025
- 5
- 6
- 7
- 8
- 9
- 10