Minghu Tan

Papers

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About

Minghu Tan is an emerging researcher specializing in robotics control systems, with a particular focus on trajectory tracking and motion control of wheeled mobile robots (WMRs). His work addresses some of the most persistent challenges in mobile robotics, including the complexities introduced by non-holonomic constraints and under-actuated system properties that make precise control exceptionally difficult. Tan's most notable contributions center on developing advanced control methodologies that push beyond conventional approaches. His 2024 paper introducing an optimal enhanced backstepping method represents a significant step forward in resolving trajectory tracking difficulties inherent to WMR systems, earning 5 citations shortly after publication. Complementing this work, his optimized dual closed-loop control strategy tackles the critical problem of disturbance rejection, enabling unicycle WMRs to achieve accurate finite-time control even under real-world perturbations — a practical challenge of considerable importance for autonomous robot deployment. Although Tan's publication record is still developing, the rapid early citation of his 2024 works signals growing recognition within the robotics and control engineering community. Students and researchers working on autonomous mobile robots, adaptive control, or robust trajectory planning will find his methodological innovations particularly relevant to bridging the gap between theoretical control design and reliable real-world robotic performance.