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  • 标题:Improving robustness in multi-robot networks *
  • 本地全文:下载
  • 作者:Cinara Ghedini ; Cristian Secchi ; Carlos H.C. Ribeiro
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:19
  • 页码:63-68
  • DOI:10.1016/j.ifacol.2015.12.011
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper addresses the topological robustness of robot networks under failures; a subject often neglected in the literature. Robots are likely to fail due to several causes, which may lead to a poorly connected or a fragmented network. Our purpose is to discuss how to design resilient robot networks. For that, we first demonstrate the problem analyzing the results from a protocol to simulate failures of both central and random (w.r.t. topology) robots. Then, we propose mechanisms for detecting the probability of a robot being in a fragile local configuration and for improving its local robustness. The procedures rely solely on local information: each robot estimates its probability of being in a harmful configuration based on the positions of its neighbors. Such probability is estimated as the number of paths connecting a robot to its 2-hop neighbors by the number of paths existing in the subgraph encompassing its 1-hop and 2-hop neighborhoods. For reversing an adverse configuration, robots change their position to an average position towards their 2-hop neighbors with fewer alternative paths. The results showed that the proposed mechanism is efficient for detecting fragile topological configurations and for improving the overall network robustness.
  • 关键词:KeywordsNetworked robotsMulti cooperative robot controlAdaptive robot control
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