Chenyuan Li
Papers
1
Total Citations
1
H-Index
1
About
Chenyuan Li is a researcher in multi-robot systems and autonomous navigation, with a focus on improving coordination and efficiency in complex environments. Their key contributions include the development of a multi-robot planning algorithm that integrates quad tree map division to handle obstacles of irregular shape, enhancing pathfinding and motion coordination for automated guided vehicles (AGVs). This work, published in 2022, proposes a novel combination of optimal shortest path algorithms with waiting and motion coordination modes, addressing critical challenges in real-world multi-robot scheduling. While their most-cited paper has garnered 1 citation, it represents an early but promising step toward scalable solutions for industrial automation and warehouse logistics. Li’s research is particularly relevant for students and engineers interested in multi-agent systems, path planning, and the practical deployment of autonomous robots in cluttered, obstacle-rich environments. Their work contributes to the broader goal of enabling efficient, collision-free operation in multi-robot teams, with potential applications in manufacturing, logistics, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1