Ontology-based Cognitive System for Contextual Reasoning in Robot Architectures
Conference Paper, Proceedings of AAAI '14 Spring Symposium on Knowledge Representation and Reasoning in Robotics, pp. 47 - 54, March, 2014
Abstract
We present a hybrid system for reasoning over contextual and spatial elements of environments. The system, designed for deployment in robot architectures, leverages a knowledge base framework for common-sense reasoning through the integration with the symbolic and sub-symbolic structures of a cognitive architecture. Methodological and functional aspects are illustrated, together with an overview of the results obtained in a synthetic simulation experiment.
BibTeX
@conference{Oltramari-2014-113131,author = {A. Oltramari and Y. Vinokurov and J. Oh and C. Lebiere and A. Stentz},
title = {Ontology-based Cognitive System for Contextual Reasoning in Robot Architectures},
booktitle = {Proceedings of AAAI '14 Spring Symposium on Knowledge Representation and Reasoning in Robotics},
year = {2014},
month = {March},
pages = {47 - 54},
}
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