Artificial intelligence planning for AUV mission control

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

doi:10.1016/j.ifacol.2015.06.043

Artificial intelligence planning for AUV mission control

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

Computer And Information Sciences

Research output: Contribution to journal › Article › peer-review

6 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 language	English
Pages (from-to)	262-267
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	28
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2015.06.043
Publication status	Published - 2 Sept 2015

Keywords

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

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10.1016/j.ifacol.2015.06.043

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title = "Artificial intelligence planning for AUV mission control",

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.",

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AU - Cashmore, M.

AU - Fox, M.

AU - Long, D.

AU - Magazzeni, D.

AU - Ridder, Bram

PY - 2015/9/2

Y1 - 2015/9/2

N2 - 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.

AB - 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.

KW - planning

KW - persistent autonomy

KW - artificial intelligence

KW - automatic control systems

KW - autonomous vehicles

KW - time schedule control

U2 - 10.1016/j.ifacol.2015.06.043

DO - 10.1016/j.ifacol.2015.06.043

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JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

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Artificial intelligence planning for AUV mission control

Abstract

Keywords

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