A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL
Matthew Johnson, Jeffery Bradshaw, Paul Feltovich, Renia Jeffers, Hyuckchul Jung, Andrzej Uszok
2006
Abstract
In this paper we describe our approach to enhancing control of robotic systems by providing domain and policy services via KAoS. Recently developed languages such as OWL provide a powerful descriptive logic foundation that can be used to express semantically rich relationships between entities and actions, and thus create complex context sensitive policies. KAoS provides a tool to create policies using OWL and an infrastructure to enforce these policies on robots. We contend that a policy-based approach can provide significant advantages in controlling robotic systems and is a much more natural way for operators to interact with and manage multiple robots.
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Paper Citation
in Harvard Style
Johnson M., Bradshaw J., Feltovich P., Jeffers R., Jung H. and Uszok A. (2006). A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 318-325. DOI: 10.5220/0001219003180325
in Bibtex Style
@conference{icinco06,
author={Matthew Johnson and Jeffery Bradshaw and Paul Feltovich and Renia Jeffers and Hyuckchul Jung and Andrzej Uszok},
title={A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001219003180325},
isbn={978-972-8865-60-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL
SN - 978-972-8865-60-3
AU - Johnson M.
AU - Bradshaw J.
AU - Feltovich P.
AU - Jeffers R.
AU - Jung H.
AU - Uszok A.
PY - 2006
SP - 318
EP - 325
DO - 10.5220/0001219003180325