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About
Wenze Xu is a researcher in robotics and control systems, with a primary focus on trajectory tracking and motion control for wheeled mobile robots. His work addresses critical challenges in autonomous navigation, particularly the degradation of tracking performance caused by sampling time errors in real-world robotic systems. Xu’s most cited paper, "Robust Predictive Trajectory Tracking Control Method for Wheeled Mobile Robot" (2021), introduces an innovative approach that combines robust control theory with model predictive control. By establishing an augmented kinematics model expressed in a multi-model form, his method enhances the stability and accuracy of mobile robot motion under uncertain conditions. Although his citation count is currently modest, this foundational work contributes to the broader field of autonomous robotics, with potential applications in logistics, manufacturing, and service robotics. Xu’s research is particularly valuable for engineers and students seeking practical solutions to real-time control challenges in dynamic environments, demonstrating a rigorous mathematical approach to improving robot autonomy and reliability.
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