{"title":"Cooperative planning for heterogeneous teams in rescue operations","authors":"Miroslav Kulich, J. Faigl, L. Preucil","doi":"10.1109/SSRR.2005.1501232","DOIUrl":null,"url":null,"abstract":"The first-place issue in cooperative activities of multiple entities in a common working environment is coordination and planning of systems activities ensuring completion of a common goal. As manual management of the problem is hard, finding a proper solution of the both tasks definitely leads to an efficient target behavior of these entities. In particular, the efficiency measured in terms of e.g. mission time, precise fulfilling of the common goal stands for the core issues in applications of a rescue type of scenarios and alike. The there under presented approach introduces a novel approach suitable for computer-aided or fully automatic mission planning and control within heterogenous teams of multiple robots and humans. The achieved performance of the approach has been experimentally verified and some interesting results are shown.","PeriodicalId":173715,"journal":{"name":"IEEE International Safety, Security and Rescue Rototics, Workshop, 2005.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Safety, Security and Rescue Rototics, Workshop, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSRR.2005.1501232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
The first-place issue in cooperative activities of multiple entities in a common working environment is coordination and planning of systems activities ensuring completion of a common goal. As manual management of the problem is hard, finding a proper solution of the both tasks definitely leads to an efficient target behavior of these entities. In particular, the efficiency measured in terms of e.g. mission time, precise fulfilling of the common goal stands for the core issues in applications of a rescue type of scenarios and alike. The there under presented approach introduces a novel approach suitable for computer-aided or fully automatic mission planning and control within heterogenous teams of multiple robots and humans. The achieved performance of the approach has been experimentally verified and some interesting results are shown.