Search-based optimal solvers for the multi-agent pathfinding problem: Summary and challenges
Multi-agent pathfinding (MAPF) is an area of expanding research interest. At the core of this
research area, numerous diverse search-based techniques were developed in the past 6 …
research area, numerous diverse search-based techniques were developed in the past 6 …
Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem
The task in the multi-agent path finding problem (MAPF) is to find paths for multiple agents,
each with a different start and goal position, such that agents do not collide. A successful …
each with a different start and goal position, such that agents do not collide. A successful …
Meta-agent conflict-based search for optimal multi-agent path finding
The task in the multi-agent path finding problem (MAPF) isto find paths for multiple agents,
each with a different startand goal position, such that agents do not collide. It is possibleto …
each with a different startand goal position, such that agents do not collide. It is possibleto …
Searching with consistent prioritization for multi-agent path finding
We study prioritized planning for Multi-Agent Path Finding (MAPF). Existing prioritized MAPF
algorithms depend on rule-of-thumb heuristics and random assignment to determine a fixed …
algorithms depend on rule-of-thumb heuristics and random assignment to determine a fixed …
A polynomial-time algorithm for non-optimal multi-agent pathfinding
Multi-agent pathfinding, where multiple agents must travel to their goal locations without
getting stuck, has been studied in both theoretical and practical contexts, with a variety of …
getting stuck, has been studied in both theoretical and practical contexts, with a variety of …
Multi-agent pathfinding: Definitions, variants, and benchmarks
The multi-agent pathfinding problem (MAPF) is the fundamental problem of planning paths
for multiple agents, where the key constraint is that the agents will be able to follow these …
for multiple agents, where the key constraint is that the agents will be able to follow these …
Multi-agent path finding for large agents
Abstract Multi-Agent Path Finding (MAPF) has been widely studied in the AI community. For
example, Conflict-Based Search (CBS) is a state-of-the-art MAPF algorithm based on a …
example, Conflict-Based Search (CBS) is a state-of-the-art MAPF algorithm based on a …
[HTML][HTML] Conflict-based search for optimal multi-agent pathfinding
In the multi-agent pathfinding problem (MAPF) we are given a set of agents each with
respective start and goal positions. The task is to find paths for all agents while avoiding …
respective start and goal positions. The task is to find paths for all agents while avoiding …
Multi-agent path finding–an overview
R Stern - Artificial Intelligence: 5th RAAI Summer School …, 2019 - Springer
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 …
such that every agent reaches its goal and the agents do not collide. In recent years, there …
Overview: Generalizations of multi-agent path finding to real-world scenarios
Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical
computer science and operations research. We discuss issues that arise when generalizing …
computer science and operations research. We discuss issues that arise when generalizing …