Xiaobin Li
Papers
1
Total Citations
3
H-Index
1
About
Xiaobin Li is a researcher in mobile robotics and autonomous navigation, with a focus on path planning and dynamic obstacle avoidance. Their most cited work, "A Study of Mobile Robot Path Planning by Fusing Improved A* And DWA Algorithms" (2023, 3 citations), addresses critical limitations in traditional A* algorithms—such as low search efficiency, node redundancy, and unsafe trajectory intersections with obstacle vertices. By fusing an enhanced A* algorithm with the Dynamic Window Approach (DWA), Li developed a robust solution for real-time, collision-free navigation in complex environments. This contribution is particularly valuable for applications in service robotics, autonomous vehicles, and industrial automation, where safe and efficient movement is paramount. Though early in their career, Li’s work demonstrates a strong grasp of algorithmic optimization and sensor-based control, laying a foundation for future advancements in intelligent mobility systems. Their research is a key reference for students and engineers seeking to integrate global path planning with local dynamic avoidance.
Research Focus
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Top Papers
- 1