Yuming Liang

Tongji University, Jiangxi University of Science and Technology

Papers

Total Citations

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About

Yuming Liang is a leading researcher in mobile robotics, with a focus on intelligent path planning and adaptive control systems. His pioneering work integrates evolutionary algorithms with trajectory optimization, most notably through his highly cited 2009 study on global path planning, which developed a hybrid genetic algorithm and modified simulated annealing approach to overcome the slow convergence of conventional methods—a contribution that has garnered 37 citations. In his equally influential 2010 work on adaptive fuzzy control for trajectory tracking, Liang addressed the fundamental challenge of controlling nonholonomic two-wheeled differential drive robots, where complex parameter interactions make traditional mathematical models inadequate. This paper, with 28 citations, demonstrated how fuzzy logic systems can achieve robust real-time tracking performance. Liang’s research bridges the gap between theoretical optimization and practical robotic navigation, offering solutions that are both computationally efficient and experimentally viable. His contributions are essential reading for students and researchers working on autonomous navigation, swarm robotics, and intelligent control systems, providing foundational techniques that continue to influence the field.