Wanli Li
Papers
1
Total Citations
7
H-Index
1
About
Dr. Wanli Li is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on optimizing path planning algorithms for complex industrial environments. Their most cited work, "Improved A* and DWA fusion algorithm based path planning for intelligent substation inspection robot" (2025, 7 citations), addresses critical limitations in traditional A* and Dynamic Window Approach (DWA) algorithms, including low global efficiency, search node redundancy, and failure under dynamic obstacle conditions. By developing a novel fusion algorithm, Dr. Li significantly enhances the real-time adaptability and robustness of inspection robots in substations, a high-stakes setting where reliability is paramount. This contribution not only advances the theoretical foundations of mobile robot navigation but also offers practical solutions for automating hazardous inspection tasks. Dr. Li’s research bridges the gap between algorithmic efficiency and real-world deployment, making their work highly relevant for students and engineers working on autonomous systems, robotics, and smart infrastructure. With a growing citation record, Dr. Li is establishing themselves as a key innovator in intelligent robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1