loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Craig Schlenoff 1 ; Sebti Foufou 2 and Stephen Balakirsky 3

Affiliations: 1 National Institute of Standards and Technology and University of Burgundy, United States ; 2 University of Burgundy and Qatar University, France ; 3 National Institute of Standards and Technology, United States

Keyword(s): Intention Recognition, Human-Robot Interaction and Safety, State Representation, Ontology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Human-Machine Cooperation ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Symbolic Systems

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.8.79

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IC3K 2012) - KEOD; ISBN 978-989-8565-30-3; ISSN 2184-3228, SciTePress, pages 178-183. DOI: 10.5220/0004111701780183

@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 (IC3K 2012) - KEOD},
year={2012},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004111701780183},
isbn={978-989-8565-30-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2012) - KEOD
TI - An Approach to Ontology-based Intention Recognition using State Representations
SN - 978-989-8565-30-3
IS - 2184-3228
AU - Schlenoff, C.
AU - Foufou, S.
AU - Balakirsky, S.
PY - 2012
SP - 178
EP - 183
DO - 10.5220/0004111701780183
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic