Papers
1
Total Citations
4
H-Index
1
About
Xinyu Ling is a researcher advancing the field of intelligent robotics, with a primary focus on autonomous navigation and path planning. Their most notable contribution is the development of a hybrid path planning algorithm that synergistically combines an improved A* algorithm with the artificial potential field method. This work directly addresses critical limitations in traditional approaches, such as excessively long planning paths, large turning angles, and the inability to handle dynamic obstacles. By enhancing the A* algorithm's efficiency and integrating it with a local planner capable of real-time obstacle avoidance, Ling’s research offers a more robust and practical solution for robot navigation in complex environments. This key paper has already garnered 4 citations, signaling its growing influence in the field. Ling’s work is particularly relevant for applications in autonomous vehicles, service robotics, and industrial automation, where safe and efficient path planning is paramount. Their innovative fusion of global and local planning strategies represents a significant step forward in creating more intelligent and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1