LiU Electronic Press
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Author:
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
Advanced Research with Autonomous Unmanned Aerial Vehicles
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Other academic)
Language:
English
In:
Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning
Place of publ.: Menlo Park, CA Publisher: AAAI Press
Pages:
731-732
Year of publ.:
2004
URI:
urn:nbn:se:liu:diva-23054
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-23054
ISBN:
978-1-57735-199-3
Local ID:
2442
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

The emerging area of intelligent unmanned aerial vehicle (UAV) research has shown rapid development in recent years and offers a great number of research challenges for artificial intelligence and knowledge representation. For both military and civilian applications, there is a desire to develop more sophisticated UAV platforms where the emphasis is placed on intelligent capabilities and their integration in complex distributed software architectures. Such architectures should support the integration of deliberative, reactive and control functionalities in addition to the UAV’s integration with larger network centric systems. In my talk I will present some of the research and results from a long term basic research project with UAVs currently being pursued at Linköping University, Sweden. The talk will focus on knowledge representation techniques used in the project and the support for these techniques provided by the software architecture developed for our UAV platform, a Yamaha RMAX helicopter. Additional focus will be placed on some of the planning and execution monitoring functionality developed for our applications in the areas of traffic monitoring, surveying and photogrammetry and emergency services assistance.

Available from:
2009-10-07
Created:
2009-10-07
Last updated:
2011-03-10
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