Lifelong MAPF

Lifelong Multi-Agent Path Finding (LMAPF) addresses the challenge of continuously planning collision-free paths for numerous agents in dynamic environments, where new goals are constantly assigned. Current research focuses on improving the efficiency and scalability of algorithms, particularly in high-density scenarios, by exploring techniques like highway structures and integrating SAT solvers with pathfinding methods. Addressing issues such as congestion, myopic behavior, and the limitations of simplified models remains crucial for bridging the gap between theoretical LMAPF and real-world applications like warehouse automation and robotics. This active research area is vital for advancing the capabilities of multi-agent systems in complex, dynamic settings.