Ming-Long Li
Papers
1
Total Citations
71
H-Index
1
About
Ming-Long Li is a leading researcher in robotics and autonomous navigation, with a primary focus on safe and efficient path planning in complex environments. His most influential work, "Safe Path Planning of Mobile Robot Based on Improved A* Algorithm in Complex Terrains" (2018), has garnered 71 citations and addresses a critical gap in traditional A* algorithms: the neglect of path safety and smoothness. Li introduced a novel environment modeling method and an enhanced evaluation function that prioritizes collision-free, smooth trajectories, significantly advancing the practical deployment of mobile robots in challenging terrains. His contributions have been widely adopted in autonomous systems research, influencing subsequent work on heuristic search and real-time navigation. Li’s research bridges theoretical algorithm design with real-world robotic applications, making him a key figure in the field. His work continues to inspire students and researchers seeking to improve robot autonomy and safety in dynamic, obstacle-rich settings.
Research Focus
Key Achievements
Top Papers
- 1