Wenkui Xue

Changzhou Institute of Mechatronic Technology

Papers

Total Citations

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About

Wenkui Xue is a leading researcher in intelligent robotic systems, with a primary focus on the control and trajectory tracking of wheeled mobile robots (MRs). His work addresses critical challenges in engineering, particularly the design of robust controllers that ensure high-performance motion in complex, real-world environments. Xue’s major contributions include pioneering a constrained fuzzy control framework for robotic systems, which enhances stability and safety under operational limits, and developing a robust intelligent controller based on neural networks for high-speed wheeled robots. This latter work overcomes the limitations of traditional kinematic-based control by incorporating dynamic voltage and torque terms, enabling precise trajectory tracking even under demanding conditions. His most cited paper, "A Constrained Fuzzy Control for Robotic Systems" (2024), has already garnered 36 citations, reflecting its immediate impact on the field. With applications spanning industry, healthcare, agriculture, and search-and-rescue, Xue’s research is pivotal in advancing the autonomy and reliability of mobile robots. His innovative integration of fuzzy logic and neural networks marks a significant step forward in intelligent control, making him a key figure in modern robotics engineering.