ICLR 2024 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...
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ros插件形式编写,利于扩展自己的多机规划方法. 本项目仓库: (如果对您有帮助的话给仓库右上角留下一...
Journal of Artificial Intelligence Research (JAIR)Artificial Intelligence (AI)International Journal of R...
变种的名字正如题目,简写为MAPF-PC,这个问题中每个agent都有一个goal序列,需要按这个序列依次访问每个goal,然后不同agent的不同goal之间有先后关系要求。 本文继续在CBS和PBS上进行魔改以解决这个变种,同时提出了一些优化方案。 CBS-PC 基本思路 在CBS上的魔改,核心思路是把“先后关系”也定义为一种CBS内的constraint...
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 ...
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/
A multi-robot path finding algorithm based on improved conflict search 2023, Kongzhi yu Juece/Control and Decision A Conflict-Based Search Framework for Multiobjective Multiagent Path Finding 2023, IEEE Transactions on Automation Science and Engineering Collision-Free 4D Dynamic Path Planning for Multi...
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/
Actions Projects Security Insights Additional navigation options master 1Branch 0Tags Code README 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...
A Conflict-Based Search Framework for Multi-Objective Multi-Agent Path Finding wonderren/public_cppmomapf • 11 Jan 2021 Naively applying existing multi-objective search algorithms, such as multi-objective A* (MOA*), to multi-agent path finding may prove to be inefficient as the ...