Leiwen Yuan
Papers
1
Total Citations
2
H-Index
1
About
Leiwen Yuan is a researcher in mobile robotics, with a primary focus on path planning and optimization for autonomous navigation. Their most notable contribution is the development of a novel global path planning algorithm that integrates multi-local gravitational potential fields with the bias-P-RRT* method, as detailed in their 2025 paper "Approach to global path planning and optimization for mobile robots based on multi-local gravitational potential fields bias-P-RRT*." This work addresses the challenge of efficient and collision-free route generation in complex environments, combining heuristic potential fields with sampling-based planning to improve convergence speed and path quality. While their research is still emerging, with 2 citations to date, the approach represents a meaningful step toward more adaptive and computationally efficient navigation systems for mobile robots. Yuan's work is particularly relevant for applications in autonomous vehicles, warehouse logistics, and service robotics, where real-time path optimization is critical. Their contribution lies in bridging classical potential field methods with modern RRT variants, offering a hybrid solution that balances exploration and exploitation. As the field of mobile robotics continues to advance, Yuan's algorithm provides a foundation for future research in dynamic and obstacle-rich environments.
Research Focus
Key Achievements
Top Papers
- 1