{"title":"基于Proto的自稳定机器人团队组建:IEEE自适应和自组织系统2012演示入口","authors":"J. Beal, J. Cleveland, K. Usbeck","doi":"10.1109/SASO.2012.43","DOIUrl":null,"url":null,"abstract":"We have used the Proto spatial computing language to create teaming algorithms based on random chain formation. Our algorithms are self-stabilizing, scale easily from less than ten robots to thousands of robots, and are highly robust against dynamic changes in perception and communication, arena size, teaming goals, adding and removing robots, and even mobility dimension. In this paper, we describe our approach, give details on our algorithms and their self-* properties, and present simulations validating the algorithms.","PeriodicalId":126067,"journal":{"name":"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Self-Stabilizing Robot Team Formation with Proto: IEEE Self-Adaptive and Self-Organizing Systems 2012 Demo Entry\",\"authors\":\"J. Beal, J. Cleveland, K. Usbeck\",\"doi\":\"10.1109/SASO.2012.43\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have used the Proto spatial computing language to create teaming algorithms based on random chain formation. Our algorithms are self-stabilizing, scale easily from less than ten robots to thousands of robots, and are highly robust against dynamic changes in perception and communication, arena size, teaming goals, adding and removing robots, and even mobility dimension. In this paper, we describe our approach, give details on our algorithms and their self-* properties, and present simulations validating the algorithms.\",\"PeriodicalId\":126067,\"journal\":{\"name\":\"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASO.2012.43\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASO.2012.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-Stabilizing Robot Team Formation with Proto: IEEE Self-Adaptive and Self-Organizing Systems 2012 Demo Entry
We have used the Proto spatial computing language to create teaming algorithms based on random chain formation. Our algorithms are self-stabilizing, scale easily from less than ten robots to thousands of robots, and are highly robust against dynamic changes in perception and communication, arena size, teaming goals, adding and removing robots, and even mobility dimension. In this paper, we describe our approach, give details on our algorithms and their self-* properties, and present simulations validating the algorithms.