Abstract In the Multi-Agent Path Finding (MAPF) problem, a set of agents moving on a graph must reach their own respective destinations without inter-agent collisions. In practical MAPF …
Multi-agent pathfinding (MAPF) has applications in navigation, robotics, games and planning. Most work on search-based optimal algorithms for MAPF has focused on simple …
We focus on the Multi-Robot pickup and delivery problem for logistic scenarios that recently received significant attention from the research community. In particular we consider an …
Multi-Agent Path Finding (MAPF) problems are traditionally solved in a centralized manner. There are works focusing on completeness, optimality, performance, or a tradeoff between …
This work investigates on the coordinated locomotion between a ceiling-mounted serial manipulator and two SwarmItFIX robots. The former holds the machining tool as an end …
The main idea of conflict-based search (CBS), a popular, state-of-the-art algorithm for multi- agent pathfinding is to resolve conflicts between agents by systematically adding constraints …
SS Chouhan, R Niyogi - Journal of Experimental & Theoretical …, 2017 - Taylor & Francis
Multi-agent path planning (MAPP) is a challenging task that aims to find conflict free paths for all the agents in a given domain. Priority-based decoupled approach is one of the several …
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 …
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 …