{"title":"Centralized Decoupled Path Planning Algorithm for Multiple Robots Using the Temporary Goal Configurations","authors":"Jun-Han Oh, Joonyoung Park, Jong-Tae Lim","doi":"10.1109/CIMSIM.2011.43","DOIUrl":null,"url":null,"abstract":"This paper presents a problem of finding collisionfree paths for multiple robots with individual start configurations and goal configurations. With the decoupled method, we try to find the collision-free paths if the solutions exist. The proposed algorithm consists of two phases. In the first phase, the path is obtained from the path planner for a single robot ignoring the existence of the other robots. To avoid mutual collisions, we assign temporarily either changed goal configurations to the robots which can be regarded as the obstacles or changed start configuration of the robot trying to move. We show that the proposed algorithm solves path planning problem in various scenarios. Keywords-path planning; multiple robot; centralized decoupled algorithm","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMSIM.2011.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a problem of finding collisionfree paths for multiple robots with individual start configurations and goal configurations. With the decoupled method, we try to find the collision-free paths if the solutions exist. The proposed algorithm consists of two phases. In the first phase, the path is obtained from the path planner for a single robot ignoring the existence of the other robots. To avoid mutual collisions, we assign temporarily either changed goal configurations to the robots which can be regarded as the obstacles or changed start configuration of the robot trying to move. We show that the proposed algorithm solves path planning problem in various scenarios. Keywords-path planning; multiple robot; centralized decoupled algorithm