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  • 标题:Artificial Intelligence Planning for AUV Mission Control
  • 本地全文:下载
  • 作者:Michael Cashmore ; Maria Fox ; Derek Long
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:2
  • 页码:262-267
  • DOI:10.1016/j.ifacol.2015.06.043
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAutonomous intelligent robotic systems are becoming increasingly important in a wide range of applications. Many of these application contexts are in physical situations out of human reach, so that a robot, or team of robots, must be capable of operating for long periods without human intervention. This requires a strategic planning capability as well as an ability to interpret and adapt to unexpected events. In this paper we describe progress towards developing such a capability in the context of underwater oilfield operations.
  • 关键词:KeywordsPlanningPersistent AutonomyArtificial intelligenceAutomatic control systemsAutonomous vehiclesTime schedule controlIntelligent knowledge-based systems
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