{"title":"静态环境中的分层多智能体运动规划","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":"{\"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}","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}
Hierarchical multi-agent motion planning in a static environment
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.