Shiliang Yan
Papers
1
Total Citations
2
H-Index
1
About
Shiliang Yan is a researcher in robotics and control systems, with a focus on trajectory tracking and iterative learning control for mobile robots. His most-cited work, "Trajectory tracking of mobile robot using iterative learning control in polar coordinates" (2010), introduces a novel approach to improving the precision of autonomous navigation by leveraging polar coordinate transformations. This method enhances the robot's ability to follow complex paths through iterative refinement, addressing key challenges in nonholonomic systems. While his citation count remains modest, Yan's contribution lies in bridging control theory with practical robotics, offering a framework that reduces tracking errors in repetitive tasks. His work is particularly relevant for applications in industrial automation and autonomous vehicles, where accuracy over repeated trajectories is critical. Yan’s research underscores the importance of adaptive learning in dynamic environments, providing a foundation for future advancements in mobile robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1