Papers
4
Total Citations
18
H-Index
3
About
Yiming Yan is a robotics researcher specializing in autonomous mobile robot navigation, path planning, and adaptive control under uncertainty. Their work addresses fundamental challenges in real-world robotic deployment, including obstacle circumvention, collision avoidance, and efficient path generation in complex environments. Yan’s most cited paper (2023, 8 citations) introduces an obstacle-circumventing adaptive control strategy for four-wheeled mobile robots facing motion uncertainties, demonstrating robust performance where traditional methods fail. Their weighted multi-tree RRT algorithm (2022, 5 citations) significantly improves path-planning efficiency by reducing local searching and eliminating useless nodes, a common bottleneck in large-scale environments. Yan also developed integrated path tracking control for collision avoidance under unknown disturbances (2022, 3 citations), and recently proposed an event-triggered sliding mode kinematic controller using barrier-function-based variable gain (2025, 2 citations) to enhance real-time responsiveness. These contributions are particularly valuable for intelligent manufacturing and industrial automation, where external disturbances and parametric perturbations challenge accuracy. Yan’s work bridges theoretical control methods with practical robotic applications, offering scalable solutions for autonomous systems operating in dynamic, uncertain settings.
Research Focus
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