Papers
4
Total Citations
157
H-Index
3
About
Dr. Weiming Liu is a leading researcher in multi-robot systems and intelligent control, with a focus on formation control and trajectory tracking for wheeled mobile robots and robotic manipulators. His most influential work, a 2021 study on modular optimal formation control for multiagent systems (80 citations), introduces a scalable framework for achieving desired formations while optimizing global cost functions—a critical advancement for coordinated robotics. In 2022, he extended this to leader–follower wheeled mobile robots (67 citations), proposing an embedded control technique that bridges theoretical design with practical implementation. Dr. Liu also addresses trajectory tracking challenges, developing cascaded system controllers that ensure asymptotic tracking even under kinematic disturbances. Most recently, his 2025 work pioneers the use of sparse online Gaussian processes for high-accuracy tracking in uncertain robot manipulators, offering a model-free approach with adaptive feedback gains. With over 150 total citations and a growing portfolio of applied control solutions, Dr. Liu’s contributions are shaping the next generation of autonomous, cooperative robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
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