Abstract Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents
such that every agent reaches its goal and the agents do not collide. In recent years, there …

Multi-agent pathfinding (MAPF) is a well-studied abstract model for navigation in a multi-
robot system, where every robot finds the path to its goal position without any collision. Due …

Abstract Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents
such that each agent reaches its goal and the agents do not collide. In recent years, variants …

Abstract Multi-Agent Path Finding (MAPF) is a challenging combinatorial problem that asks
us to plan collision-free paths for a team of cooperative agents. In this work, we show that …

Abstract Conflict-Based Search (CBS) and its enhancements are among the strongest
algorithms for Multi-Agent Path Finding. Recent work introduced an admissible heuristic to …

We consider two new classes of pairwise path symmetries which appear in the context of
Multi-Agent Path Finding (MAPF). The first of them, corridor symmetry, arises when two …

Abstract Multi-Agent Path Finding has been widely studied in the past few years due to its
broad application in the field of robotics and AI. However, previous solvers rely on several …

Multi-agent path-finding (MAPF) is the problem of finding a plan for moving a set of agents
from their initial locations to their goals without collisions. Following this plan, however, may …

Abstract Purpose of Review Planning collision-free paths for multiple robots is important for
real-world multi-robot systems and has been studied as an optimization problem on graphs …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …