Sarat C. Addepalli, P. Bansal, K. Srinathan, K. Krishna
{"title":"Secured Multi-robotic Active Localization without Exchange of Maps: A Case of Secure Cooperation Amongst Non-trusting Robots","authors":"Sarat C. Addepalli, P. Bansal, K. Srinathan, K. Krishna","doi":"10.1109/ARES.2009.158","DOIUrl":null,"url":null,"abstract":"Secure multiparty protocols have found applications in numerous domains, where multiple nontrusting parties wish to evaluate a function of their private inputs. In this paper, we consider the case of multiple robots wishingto localize themselves, with maps as their private inputs. Though localization of robots has been a well studied problem, only recent studies have shown how to actively localize multiple robots through coordination. In all such studies, localization has typically been achieved through constructing a publicly known global map. Here, we show how a similar solution can be given in the case of nontrusting robots, which do not wish to disclose their local maps.","PeriodicalId":169468,"journal":{"name":"2009 International Conference on Availability, Reliability and Security","volume":"29 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2009.158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Secure multiparty protocols have found applications in numerous domains, where multiple nontrusting parties wish to evaluate a function of their private inputs. In this paper, we consider the case of multiple robots wishingto localize themselves, with maps as their private inputs. Though localization of robots has been a well studied problem, only recent studies have shown how to actively localize multiple robots through coordination. In all such studies, localization has typically been achieved through constructing a publicly known global map. Here, we show how a similar solution can be given in the case of nontrusting robots, which do not wish to disclose their local maps.