{"title":"Hierarchical multi-agent motion planning in a static environment","authors":"E. A. Johnson, A. Esterline","doi":"10.1109/SECON.2000.845426","DOIUrl":null,"url":null,"abstract":"This hierarchical approach to motion planning has good asymptotic complexity and, when the assumptions are met, gives near-optimal solutions. We address adaptations of our heuristics (a clear method encapsulating an arbitrary set of points) to handle situations where our assumptions do not quite hold.","PeriodicalId":206022,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2000. 'Preparing for The New Millennium' (Cat. No.00CH37105)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE SoutheastCon 2000. 'Preparing for The New Millennium' (Cat. No.00CH37105)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2000.845426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This hierarchical approach to motion planning has good asymptotic complexity and, when the assumptions are met, gives near-optimal solutions. We address adaptations of our heuristics (a clear method encapsulating an arbitrary set of points) to handle situations where our assumptions do not quite hold.