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 …
J Li, W Ruml, S Koenig - Proceedings of the AAAI conference on …, 2021 - ojs.aaai.org
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 …
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 The Multi-Agent Path Finding problem aims to find a set of collision-free paths that minimizes the total cost of all paths. The problem is extensively studied in artificial …
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 …
P Surynek - Proceedings of the International Symposium on …, 2019 - ojs.aaai.org
We describe an attempt to unify search-based and compilation-based approaches to multi- agent path finding (MAPF) through satisfiability modulo theories (SMT). The task in MAPF is …
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 …