{"title":"Dynamic path planning for coordinated motion of multiple mobile robots","authors":"M. Langerwisch, Bernardo Wagner","doi":"10.1109/ITSC.2011.6083047","DOIUrl":null,"url":null,"abstract":"This paper presents an approach of calculating coordinated paths for multiple mobile robots operating in the same environment. Therefore, the presented approach extends the configuration space with a time component. Based on an A∗ algorithm, it calculates collision free paths of multiple robots. Moreover, it is capable of replanning the path in dynamic environments without doing an iterated A∗ path planning from scratch. The correctness of the approach is proven, and experiments show the achieved improvement in computation time compared to an iterated path planning from scratch. A lattice type state space representation based on short motion sequences is applied to the approach, resulting in more realistic and traversable trajectories for vehicles. The feasibility is shown by letting a simulated convoy turn autonomously to the opposite direction.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2011.6083047","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 an approach of calculating coordinated paths for multiple mobile robots operating in the same environment. Therefore, the presented approach extends the configuration space with a time component. Based on an A∗ algorithm, it calculates collision free paths of multiple robots. Moreover, it is capable of replanning the path in dynamic environments without doing an iterated A∗ path planning from scratch. The correctness of the approach is proven, and experiments show the achieved improvement in computation time compared to an iterated path planning from scratch. A lattice type state space representation based on short motion sequences is applied to the approach, resulting in more realistic and traversable trajectories for vehicles. The feasibility is shown by letting a simulated convoy turn autonomously to the opposite direction.