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  • 标题:Redefining voting to enable simultaneous multioperator robot navigation
  • 本地全文:下载
  • 作者:Lakshminarasimhan Srinivasan ; Pablo Baier ; Christian Herrmann
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:29
  • 页码:170-175
  • DOI:10.1016/j.ifacol.2015.11.232
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper details an algorithm where multiple users can simultaneously and efficiently operate on a single remote robot. Single user single robot remote operation is fairly advanced but multi-user operation is faced with many drawbacks, especially when users are spatially seperated and have no means of knowing what commands are being issued by other operators at the same time. This is a non-trivial problem and has so far always been solved using human intervention using built in voting mechanisms. This paper is focussed on using an intelligent voting algorithm which dynamically computes a vote based on operator commands without the need for any manual intervention. Extended results are documented and analysed.
  • 关键词:KeywordsTele-operationVotingMulti-user-single-robotMOSRRemote roboticsBayesian AnalysisCategorical DistributionsWeighted Network Optimization
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