Artificial intelligence planning for AUV mission control

M. Cashmore, M. Fox, D. Long, D. Magazzeni, Bram Ridder

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

textcopyright 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Autonomous 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.
Original languageEnglish
Pages (from-to)262-267
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number2
DOIs
Publication statusPublished - 2 Sep 2015

Keywords

  • planning
  • persistent autonomy
  • artificial intelligence
  • automatic control systems
  • autonomous vehicles
  • time schedule control

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