Mingze Xu

Papers

Total Citations

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About

Mingze Xu is a robotics researcher specializing in motion control and visual perception for autonomous mobile systems, with a focus on soccer robotics and real-time object tracking. His work bridges theoretical control methods and practical robotic applications, particularly in dynamic, constrained environments. Xu’s most cited paper, “Trajectory Tracking of Wheeled Soccer Robots Based on Model Predictive Control” (2021, 3 citations), addresses the under-actuation and field constraints of two-wheeled soccer robots by establishing a kinematic model and applying MPC for precise trajectory following—a key challenge in competitive robotics. In his 2023 work, “Visual Object Tracking Method for Mobile Robots Based on DSST” (2 citations), he enhances the discriminative scale space tracking (DSST) algorithm by integrating a Kalman filter and a confidence criterion based on oscillation severity and average peak-to-correlation energy (APCE), enabling faster, more accurate tracking in mobile robot scenarios. Though early in his career, Xu’s contributions are foundational for advancing autonomous navigation and perception in robotics, with potential applications in sports robotics, surveillance, and industrial automation.