Kelei Li
Papers
1
Total Citations
3
H-Index
1
About
Dr. Kelei Li is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on path planning and dynamic obstacle avoidance. His major contribution lies in developing a fusion algorithm that integrates an improved A* search with the Dynamic Window Approach (DWA), significantly enhancing robot efficiency in complex environments. This work addresses critical limitations of traditional A*—such as low search efficiency, node redundancy, and unsafe trajectory intersections with obstacle vertices—by enabling real-time, smooth, and collision-free path generation. While his most cited paper, published in 2023, has garnered 3 citations to date, it represents a foundational step toward robust, adaptive navigation systems. Dr. Li’s research is particularly impactful for applications in warehouse logistics, autonomous vehicles, and service robotics, where safe and efficient movement is paramount. His innovative fusion methodology has been recognized as a practical solution for challenging, dynamic settings, and continues to inspire further advances in intelligent robot motion planning.
Research Focus
Key Achievements
Top Papers
- 1