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文章基本信息

  • 标题:Strategic Path Planning by Sequential Parametric Bayesian Decisions
  • 作者:Baro Hyun ; Pierre Kabamba ; Anouck Girard
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2013
  • 卷号:10
  • 期号:11
  • 页码:390
  • DOI:10.5772/56647
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:The objective of this research is to generate a path for a mobile agent that carries sensors used for classification, where the path is to optimize strategic objectives that account for misclassification and the consequences of misclassification, and where the weights assigned to these consequences are chosen by a strategist. We propose a model that accounts for the interaction between the agent kinematics (i.e., the ability to move), informatics (i.e., the ability to process data to information), classification (i.e., the ability to classify objects based on the information), and strategy (i.e., the mission objective). Within this model, we pose and solve a sequential decision problem that accounts for strategist preferences and the solution to the problem yields a sequence of kinematic decisions of a moving agent. The solution of the sequential decision problem yields the following flying tactics: “approach only objects whose suspected identity matters to the strategy”. These tactics are numerically illustrated in several scenarios.
  • 关键词:Path Planning; Classification; Autonomous Robots
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