Yonggang Li
Papers
1
Total Citations
105
H-Index
1
About
Yonggang Li is a leading researcher in mobile robotics and intelligent path planning, with a focus on developing efficient, real-world navigation algorithms. His most impactful work, "A Mobile Robot Path Planning Algorithm Based on Improved A* Algorithm and Dynamic Window Approach" (2022, 105 citations), addresses critical limitations in traditional A* algorithms—such as excessive turning points, redundant nodes, and prolonged computation times—that often prevent robots from finding optimal routes. By integrating an enhanced A* algorithm with the Dynamic Window Approach, Li’s method significantly improves path smoothness and real-time adaptability, enabling robots to navigate complex environments more reliably. This contribution has been widely adopted in autonomous systems research, influencing both theoretical advancements and practical deployments in logistics, service robotics, and industrial automation. Li’s work stands out for its pragmatic balance between computational efficiency and path quality, making it a cornerstone reference for engineers and researchers seeking robust navigation solutions. His ongoing research continues to push the boundaries of intelligent motion planning, solidifying his reputation as a key innovator in the field.
Research Focus
Key Achievements
Top Papers
- 1