Solving cooperative path finding (CPF) by translating it to propositional satisfiability represents a viable option in highly constrained situations. The task in CPF is to relocate …
P Surynek - Annals of Mathematics and Artificial Intelligence, 2017 - Springer
This paper deals with solving cooperative path finding (CPF) problems in a makespan- optimal way. A feasible solution to the CPF problem lies in the moving of mobile agents …
P Surynek - 2014 IEEE 26th International Conference on Tools …, 2014 - ieeexplore.ieee.org
This paper addresses make span optimal solving of cooperative path-finding problem (CPF) by translating it to propositional satisfiability (SAT). The task is to relocate set of agents to …
In the multi-agent path finding (MAPF) the task is to find non-conflicting paths for multiple agents. Recently, existing makespan optimal SAT-based solvers for MAPF have been …
R Barták, J Švancara, V Škopková, D Nohejl… - AI …, 2019 - content.iospress.com
Abstract The problem of Multi-Agent Path Finding (MAPF) is to find paths for a fixed set of agents from their current locations to some desired locations in such a way that the agents …
R Barták, J Švancara, V Škopková, D Nohejl - Advances in Artificial …, 2018 - Springer
Abstract The problem of Multi-Agent Path Finding (MAPF) is to find paths for a fixed set of agents from their current locations to some desired locations in such a way that the agents …
The multi-agent path finding (MAPF) problem is a combinatorial search problem that aims at finding paths for multiple agents such that no two agents collide with each other. We study a …
Multi-agent path finding (MAPF) attracts considerable attention in the artificial intelligence community. The task in the standard MAPF is to find discrete paths through which agents …
A Bogatarkan, E Erdem - Theory and Practice of Logic Programming, 2020 - cambridge.org
The multi-agent path finding (MAPF) problem is a combinatorial search problem that aims at finding paths for multiple agents (eg, robots) in an environment (eg, an autonomous …