Yunfan Li
Papers
1
Total Citations
3
H-Index
1
About
Yunfan Li is a robotics researcher whose work focuses on multi-robot systems, particularly the intersection of priority assignment and path planning for autonomous agents. Li's most notable contribution introduces a double-layer structural framework that simultaneously addresses both priority and path planning challenges in multi-robot environments — a problem that prior research had largely treated as separate concerns. By recognizing that priority assignment significantly influences whether viable solutions can be found and affects overall system cost, Li's approach represents a meaningful step toward more holistic and efficient coordination strategies for robot swarms and collaborative autonomous systems. While Li's publication record is still developing, with the landmark 2020 paper accumulating 3 citations, the research addresses a genuinely complex combinatorial challenge that has practical implications for warehouse automation, search-and-rescue robotics, and autonomous vehicle coordination. The work contributes to the growing body of literature on multi-agent path finding (MAPF), a field experiencing rapid growth as robotic deployments become increasingly prevalent in real-world settings. Students and researchers exploring decentralized robot coordination or conflict resolution in multi-agent systems would find Li's integrated planning perspective a useful reference point for understanding how structural algorithmic design can improve scalability and solution completeness.
Research Focus
Key Achievements
Top Papers
- 1