{"title":"Push, Stop, and Replan: An Application of Pebble Motion on Graphs to Planning in Automated Warehouses","authors":"Miroslav Kulich, T. Novák, L. Preucil","doi":"10.1109/ITSC.2019.8916906","DOIUrl":null,"url":null,"abstract":"The pebble-motion on graphs is a subcategory of multi-agent pathfinding problems dealing with moving multiple pebble-like objects from a node to a node in a graph with a constraint that only one pebble can occupy one node at a given time. Additionally, algorithms solving this problem assume that individual pebbles (robots) cannot move at the same time and their movement is discrete. These assumptions disqualify them from being directly used in practical applications, although they have otherwise nice theoretical properties. We present modifications of the Push and Rotate algorithm [1], which relax the presumptions mentioned above and demonstrate, through a set of experiments, that the modified algorithm is applicable for planning in automated warehouses.","PeriodicalId":6717,"journal":{"name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","volume":"9 1","pages":"4456-4463"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2019.8916906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The pebble-motion on graphs is a subcategory of multi-agent pathfinding problems dealing with moving multiple pebble-like objects from a node to a node in a graph with a constraint that only one pebble can occupy one node at a given time. Additionally, algorithms solving this problem assume that individual pebbles (robots) cannot move at the same time and their movement is discrete. These assumptions disqualify them from being directly used in practical applications, although they have otherwise nice theoretical properties. We present modifications of the Push and Rotate algorithm [1], which relax the presumptions mentioned above and demonstrate, through a set of experiments, that the modified algorithm is applicable for planning in automated warehouses.
图上的鹅卵石运动是多代理寻路问题的一个子类别,该问题处理将多个类似鹅卵石的对象从图中的一个节点移动到另一个节点,并约束在给定时间内只有一个鹅卵石可以占用一个节点。此外,解决这个问题的算法假设单个鹅卵石(机器人)不能同时移动,并且它们的运动是离散的。这些假设使它们无法直接用于实际应用,尽管它们在其他方面具有很好的理论性质。我们提出了对Push and Rotate算法的改进[1],放宽了上述的假设,并通过一组实验证明了改进后的算法适用于自动化仓库的规划。