Yueqiao Li
Papers
1
Total Citations
12
H-Index
1
About
Yueqiao Li is a robotics researcher whose work focuses on advancing autonomous navigation through innovative path planning algorithms. Li’s most cited paper, "K-Order Surrounding Roadmaps Path Planner for Robot Path Planning" (2013, 12 citations), introduces a novel approach to robot motion planning by leveraging higher-order spatial relationships to generate efficient, collision-free paths in complex environments. This contribution addresses fundamental challenges in robotics, particularly in dynamic or obstacle-dense settings, offering a scalable solution that balances computational efficiency with path optimality. Li’s research integrates concepts from computational geometry and graph theory, providing a framework that has influenced subsequent work in autonomous vehicles and mobile robotics. With a citation count reflecting the niche yet foundational nature of this work, Li’s contributions underscore a commitment to solving real-world navigation problems. Their achievements highlight a dedication to bridging theoretical algorithms with practical robotic applications, making them a notable figure in the field of robot path planning.
Research Focus
Key Achievements
Top Papers
- 1K-Order Surrounding Roadmaps Path Planner for Robot Path Planning12 citations · 2013