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文章基本信息

  • 标题:On Optimal Policies for Risk-Aware Sensor Data Collection by a Mobile Agent
  • 本地全文:下载
  • 作者:Amritha Prasad ; Jeffrey Hudack ; Shreyas Sundaram
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:20
  • 页码:321-326
  • DOI:10.1016/j.ifacol.2019.12.175
  • 语种:English
  • 出版社:Elsevier
  • 摘要:We consider a scenario where a mobile agent is required to collect measurements from a geographically dispersed set of sensors and return them to a base. The agent faces a risk of destruction while traversing the environment to reach the sensors, and gets the reward for gathering a sensor measurement only if it successfully returns to base. We characterize several properties of the optimal policy for the agent based on a quantity that we term the "reward-to-risk" ratio of the tasks. We provide the optimal policy when the risk of destruction is sufficiently high, and evaluate several heuristic policies via simulation.
  • 关键词:KeywordsAutonomous mobile robotsriskgraphsrouting algorithms
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