An Approach to Ontology-based Intention Recognition using State Representations

Craig Schlenoff, Sebti Foufou, Stephen Balakirsky

Abstract

In this paper, we present initial thoughts on an approach to ontology/logic-based intention recognition based on the recognition, representation, and ordering of states. This is different than traditional approaches to intention recognition, which use activity recognition and the ordering of activities. State recognition and representation offer numerous advantages, including the ability to infer the intention of multiple people working together and the fact that states are easier for a sensor system to recognize than actions. The focus of this work is on the domain of manufacturing assembly, with an emphasis on human/robot collaboration during the assembly process.

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Paper Citation


in Harvard Style

Schlenoff C., Foufou S. and Balakirsky S. (2012). An Approach to Ontology-based Intention Recognition using State Representations . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 178-183. DOI: 10.5220/0004111701780183


in Bibtex Style

@conference{keod12,
author={Craig Schlenoff and Sebti Foufou and Stephen Balakirsky},
title={An Approach to Ontology-based Intention Recognition using State Representations},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004111701780183},
isbn={978-989-8565-30-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - An Approach to Ontology-based Intention Recognition using State Representations
SN - 978-989-8565-30-3
AU - Schlenoff C.
AU - Foufou S.
AU - Balakirsky S.
PY - 2012
SP - 178
EP - 183
DO - 10.5220/0004111701780183