这篇文章的Introduction部分主要介绍了多智能体路径规划(Multi-Agent Path Finding, MAPF)问题的背景、挑战,以及作者提出方法的动机和贡献。以下是详细的介绍: 一、背景(Background) 多智能体路径规划问题(MAPF): MAPF是一个组合优化问题,涉及为多个智能体(如机器人、车辆等)规划最优的避碰路径。 该问题在机器人技...
多智能体路径规划 (Multi-Agent Path Finding, MAPF) 研究多智能体的路径规划算法,为多机系统规划无冲突的最优路径. 本项目将多机路径规划算法(Multi-Agent Path Finding, MAPF)源码转换为ros实现.算法接口采用…
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 related costs. Currently, existing MAPF studies often consider the simplified problem setup where each agent does not ...
Conflict-Based Search (CBS) 是一种用于解决多智能体路径规划(Multi-Agent Path Finding, MAPF)问题的算法。MAPF 问题旨在为一组智能体规划无冲突的路径,使得每个智能体从起始位置到达目标位置。CBS 算法通过两层结构解决此问题: 底层(Low Level):执行单机路径规划,例如使用传统的 A* 算法。 顶层(High Level):遍...
The MAPF (Multi-Agent Path Finding) is the problem of computing collision-free paths for a team of agents from their current locations to a given destination. In this repo you can find the solution of the assignment given by Sven Koenig that is composed of 5 tasks. I used the repository...
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 has been a growing interest in MAPF in the Artificial Intelligence (AI) research community. This interest is partially...
Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A* - GitHub - zhng1456/Multi-Agent-Path-Finding: Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
多智能体路径规划问题 —— Learn all about Multi-Agent Path Finding (MAPF),地址:http://mapf.info/index.php/Main/Publications与其对应的实验室地址:https://www.movingai.com/
Multi-agent path finding (MAPF) holds significant practical relevance in numerous real-world applications involving fleets of mobile robots. The efficiency of such systems is directly determined by the quality of the paths calculated. Accordingly, extensive effort has been directed toward creating effect...
Paper tables with annotated results for SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding