LiU Electronic Press
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Author:
Heintz, Fredrik (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
DyKnow: A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the International Workshop on Monitoring, Security, and Rescue Techniques in Multi-Agent Systems (MSRAS)
Editor:
Barbara Dunin-Keplicz, Andrzej Jankowski, Andrzej Skowron, Marcin Szczuka
Publisher: Springer
Series:
Advances in Soft Computing, ISSN 1867-5662; 28
Pages:
479-492
Year of publ.:
2004
URI:
urn:nbn:se:liu:diva-22981
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-22981
ISBN:
978-3540232452
Local ID:
2354
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

Any autonomous system embedded in a dynamic and changing environment must be able to create qualitative knowledge and object structures representing aspects of its environment on the fly from raw or preprocessed sensor data in order to reason qualitatively about the environment. These structures must be managed and made accessible to deliberative and reactive functionalities which are dependent on being situationally aware of the changes in both the robotic agent’s embedding and internal environment. DyKnow is a software framework which provides a set of functionalities for contextually accessing, storing, creating and processing such structures. The system is implemented and has been deployed in a deliberative/reactive architecture for an autonomous unmanned aerial vehicle. The architecture itself is distributed and uses real-time CORBA as a communications infrastructure. We describe the system and show how it can be used in execution monitoring and chronicle recognition scenarios for UAV applications.

Available from:
2009-10-07
Created:
2009-10-07
Last updated:
2012-01-19
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21 hits