DocumentCode
2962874
Title
Agent-based mission management for a UAV
Author
Karim, Samin ; Heinze, Clint ; Dunn, Shane
Author_Institution
Inf. Syst., Univ. of Melbourne, Vic., Australia
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
481
Lastpage
486
Abstract
This article reports on the design, implementation and testing of a mission management system for a small, electric powered UAV - the Codarra Avatar. The system was designed and implemented using the agent-programming paradigm. which is a powerful, scalable and flexible framework for building autonomous systems. Specifically, we have used the JACK intelligent agent programming language. The system was integrated with an existing autopilot and auto-stabilisation system that performs basic flight control on the UAV. The mission management system performs without any human intervention, and represents a step forward in UAV autonomy. The use of agents as the design and development platform is particularly useful in view of future work, involving teams, or perhaps swarms, of UAV. Two agent designs inspired by different design principles are described and compared. The simulation and actual flight tests are also discussed. In addition to the experimental report, we provide a short conceptual discourse on autonomous agent and multi-agent systems, and how the proposed frameworks and concepts can apply to multi-UAV control.
Keywords
aerospace expert systems; aerospace testing; aircraft control; intelligent control; multi-agent systems; object-oriented programming; programming languages; remotely operated vehicles; Codarra Avatar; JACK intelligent agent programming language; UAV swarms; aerospace testing; agent-based mission management; autonomous agent systems; electric powered UAV; flight control; multi-UAV control; multi-agent systems; Aerospace control; Avatars; Buildings; Computer languages; Energy management; Humans; Intelligent agent; Power system management; System testing; Unmanned aerial vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN
0-7803-8894-1
Type
conf
DOI
10.1109/ISSNIP.2004.1417508
Filename
1417508
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