Papers
5
Total Citations
25
H-Index
2
About
Liming Hu is a researcher whose work bridges advanced control theory and practical robotics, with a particular focus on precision motion systems and autonomous navigation. Hu’s major contributions lie in developing robust control strategies for industrial robots and mobile platforms, including cascade control for permanent magnet synchronous motors (PMSM) used in manufacturing, and event-triggered sliding mode kinematic control for four-wheeled steerable mobile robots. Notably, Hu has also advanced computer vision techniques, introducing a coherent chord computation method for accurate ellipse detection, which has applications in automated inspection and robotic perception. With papers accumulating citations from 2023 to 2025, Hu’s work on trajectory tracking—such as LQR optimal composite control based on LPV models and coupled sliding mode mechanisms with adaptive switching gain—addresses the critical challenge of maintaining precision under external disturbances and parameter uncertainties. These contributions are essential for improving efficiency and accuracy in industrial automation, making Hu’s research highly relevant for students and engineers working on next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Coherent chord computation and cross ratio for accurate ellipse detection11 citations · 2023
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