Papers
2
Total Citations
57
H-Index
2
About
Li Ning is a pioneering researcher in mobile robotics and autonomous navigation, with a primary focus on path planning and multi-robot coordination in dynamic environments. His seminal 2004 work, "Path Planning for Mobile Robot Based on Particle Swarm Optimization," introduced a novel hybrid approach that combines MAKLINK graph construction, Dijkstra's algorithm, and particle swarm optimization to efficiently compute optimal routes. This foundational paper has accumulated 38 citations, establishing him as an early innovator in applying swarm intelligence to robotic navigation. Building on this legacy, his 2022 study on "Hybrid Navigation Method for Multiple Robots Facing Dynamic Obstacles" addresses the critical limitations of traditional algorithms like Dijkstra and A* in real-world, unpredictable settings. With 19 citations, this work demonstrates his continued relevance in tackling complex, multi-agent navigation challenges. Li Ning's contributions bridge classical graph-based methods with modern optimization techniques, offering practical solutions for robots operating in crowded, changing environments—a vital advancement for applications in warehouse automation, search-and-rescue, and autonomous transportation.
Research Focus
Key Achievements
Top Papers
- 1PATH PLANNING FOR MOBILE ROBOT BASED ON PARTICLE SWARM OPTIMIZATION38 citations · 2004
- 2Hybrid Navigation Method for Multiple Robots Facing Dynamic Obstacles19 citations · 2022