{"title":"智能空间中多机器人部署的设计与实现","authors":"H. S. Lee, J. Oh, Beomhee Lee","doi":"10.1109/ETFA.2015.7301549","DOIUrl":null,"url":null,"abstract":"This paper presents the problem of robot deployment for a number of scattered tasks. We aim to minimize the duration it takes for all robots to reach their assigned task locations. In previous work, we have proposed a team composed of one carrier robot (CR) and several servant robots to accomplish the mission. Then we have suggested an algorithm that determines a path of the CR for an efficient deployment under a few constraints, which is verified by simulations. Assuming that the servant robots are unmanned aerial vehicles (UAVs), the present paper extends the discussion to a real robot experiment. We design and implement a deployment system in intelligent space. The feasibility of the study is demonstrated through an experiment.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"18 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and implementation for multiple-robot deployment in intelligent space\",\"authors\":\"H. S. Lee, J. Oh, Beomhee Lee\",\"doi\":\"10.1109/ETFA.2015.7301549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the problem of robot deployment for a number of scattered tasks. We aim to minimize the duration it takes for all robots to reach their assigned task locations. In previous work, we have proposed a team composed of one carrier robot (CR) and several servant robots to accomplish the mission. Then we have suggested an algorithm that determines a path of the CR for an efficient deployment under a few constraints, which is verified by simulations. Assuming that the servant robots are unmanned aerial vehicles (UAVs), the present paper extends the discussion to a real robot experiment. We design and implement a deployment system in intelligent space. The feasibility of the study is demonstrated through an experiment.\",\"PeriodicalId\":6862,\"journal\":{\"name\":\"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"18 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2015.7301549\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2015.7301549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation for multiple-robot deployment in intelligent space
This paper presents the problem of robot deployment for a number of scattered tasks. We aim to minimize the duration it takes for all robots to reach their assigned task locations. In previous work, we have proposed a team composed of one carrier robot (CR) and several servant robots to accomplish the mission. Then we have suggested an algorithm that determines a path of the CR for an efficient deployment under a few constraints, which is verified by simulations. Assuming that the servant robots are unmanned aerial vehicles (UAVs), the present paper extends the discussion to a real robot experiment. We design and implement a deployment system in intelligent space. The feasibility of the study is demonstrated through an experiment.