Logic-based robot control in highly dynamic domains
Robotics and Autonomous Systems
Learning algorithms for scheduling using knowledge based model
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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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 low-end autonomous functionality seamlessly in autonomous architectures is currently one of the major open problems in robotics research. UAVs offer especially diflcult challenges in comparison with ground robotic systems due to the ofen 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.