Qing Di
Papers
1
Total Citations
44
H-Index
1
About
Dr. Qing Di is a leading researcher in robotics and nonlinear control systems, with a particular focus on intelligent motion control for autonomous mobile robots. Their most impactful work addresses the critical challenge of ensuring robust tracking and stabilization in wheeled mobile robots under real-world constraints, such as parametric uncertainties, external disturbances, and input saturation. In their highly cited 2018 paper, Dr. Di introduced an innovative robust neural network–based control scheme that simultaneously handles both trajectory tracking and posture stabilization—a problem traditionally treated separately. By developing a novel error-state transformation, their approach effectively mitigates the effects of actuator limitations and environmental disturbances, achieving superior performance over conventional methods. With 44 citations, this work has become a foundational reference for researchers developing resilient control strategies for autonomous ground vehicles. Dr. Di’s contributions are instrumental in advancing the reliability and safety of mobile robots operating in unstructured environments, bridging the gap between theoretical control design and practical robotic applications. Their research continues to influence the next generation of intelligent, adaptive robotic systems.
Research Focus
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Top Papers
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