Towards a Delegation Framework for Aerial Robotic Mission Scenarios
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems
Autonomous Agents and Multi-Agent Systems
A UAV search and rescue scenario with human body detection and geolocalization
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
A delegation-based architecture for collaborative robotics
AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
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Knowledge representation technologies play a fundamental role in any autonomous system that includes deliberative capability and that internalizes models of its internal and external environments. Integrating both high- and lowend autonomous functionality seamlessly in autonomous architectures is currently one of the major open problems in robotics research. UAVs offer especially difficult challenges in comparison with ground robotic systems due to the often tight time constraints and safety considerations that must be taken into account. This article provides an overview of some of the knowledge representation technologies and deliberative capabilities developed for a fully deployed autonomous unmanned aerial vehicle system to meet some of these challenges.