{"title":"Hierarchical Task Planning Considering Communication Status for Multi-Robot System","authors":"Jiyoun Moon, Sung-Hoon Bae","doi":"10.23919/ICCAS52745.2021.9649809","DOIUrl":null,"url":null,"abstract":"As the roles of robots have expanded, flexible task planning frameworks have received significant attention in various domains. In particular, task planning based on multi-agent systems is essential because tasks can be performed efficiently in broad areas by utilizing such systems. This paper proposes various task-planning methods according to the communication statuses of robots. The proposed methods were successfully verified through experiments in which a multi-agent system consisting of a central control system and several robots was applied. Our experimental setup assumed that the central control system and robots had different communication statuses.","PeriodicalId":411064,"journal":{"name":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS52745.2021.9649809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As the roles of robots have expanded, flexible task planning frameworks have received significant attention in various domains. In particular, task planning based on multi-agent systems is essential because tasks can be performed efficiently in broad areas by utilizing such systems. This paper proposes various task-planning methods according to the communication statuses of robots. The proposed methods were successfully verified through experiments in which a multi-agent system consisting of a central control system and several robots was applied. Our experimental setup assumed that the central control system and robots had different communication statuses.