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Artificial Intelligence Planning for AUV Mission Control

Michael Cashmore, Maria Fox, Derek Long, Daniele Magazzeni, Bram Ridder

Year
2015
Citations
7

Abstract

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.

Keywords

RobotContext (archaeology)Computer scienceIntervention (counseling)Control (management)Systems engineeringEngineeringArtificial intelligenceProcess managementHuman–computer interaction

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