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 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 …

Abstract Multi-Agent Path Finding (MAPF), ie, finding collision-free paths for multiple robots,
is important for many applications where small runtimes are necessary, including the kind of …

Abstract Multi-Agent Path Finding (MAPF) is the challenging problem of computing collision-
free paths for multiple agents. Algorithms for solving MAPF can be categorized on a …

We introduce the Cooperative Multi-Agent Path Finding (Co-MAPF) problem, an extension to
the classical MAPF problem, where cooperative behavior is incorporated. In this setting, a …

Multi-Agent Path Finding (MAPF) is an important core problem for many new and emerging
industrial applications. Many works appear on this topic each year, and a large number of …

We formalize and study the multi-goal task assignment and path finding (MG-TAPF) problem
from theoretical and algorithmic perspectives. The MG-TAPF problem is to compute an …

Abstract Multi-Agent Path Finding (MAPF) aims to find a set of conflict-free paths for multiple
agents on a given graph from parking locations to specified goal locations while optimizing …

Multi-Agent Path Finding (MAPF) in crowded environments presents a challenging problem
in motion planning, aiming to find collision-free paths for all agents in the system. MAPF …

Abstract Multi-Agent Path Finding (MAPF) is the problem of finding collision-free paths for
multiple agents that minimize the sum of path costs. EECBS is a leading two-level algorithm …