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.
LanguageEnglish
Pages262-267
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number2
DOIs
Publication statusPublished - 2 Sep 2015

Fingerprint

Artificial intelligence
Robots
Planning
Strategic planning
Robotics

Keywords

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

Cite this

Cashmore, M. ; Fox, M. ; Long, D. ; Magazzeni, D. ; Ridder, Bram. / Artificial intelligence planning for AUV mission control. In: IFAC-PapersOnLine. 2015 ; Vol. 28, No. 2. pp. 262-267.
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Artificial intelligence planning for AUV mission control. / Cashmore, M.; Fox, M.; Long, D.; Magazzeni, D.; Ridder, Bram.

In: IFAC-PapersOnLine, Vol. 28, No. 2, 02.09.2015, p. 262-267.

Research output: Contribution to journalArticle

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AU - Fox, M.

AU - Long, D.

AU - Magazzeni, D.

AU - Ridder, Bram

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KW - planning

KW - persistent autonomy

KW - artificial intelligence

KW - automatic control systems

KW - autonomous vehicles

KW - time schedule control

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