An Approach to Ontology-based Intention Recognition using State Representations

Craig Schlenoff, Sebti Foufou, Stephen Balakirsky

2012

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.

References

  1. Bateman, J. and S. Farrar (2006). Spatial Ontology Baseline Version 2.0. OntoSpace Project Report - Spatial Cognition SFB/TR 8: I1 - [OntoSpace], University of Bremen.
  2. Chabrol, J. (1987). "Industrial robot standardization at ISO." Robotics 3(2).
  3. Demolombe, R., A. Mara, et al. (2006). Intention recognition in the situation calculus and probability theory frameworks. Computational Logic in MulitAgent Systems (CLIMA) Conference: 358-372.
  4. Jarvis, P. A., T. F. Lunt, et al. (2005). "Identifying terrorist activity with AI plan-recognition technology." AI Magazine 26(3): 9.
  5. Jeon, H., T. Kim, et al. (2008). Ontology-based User Intention Recognition for Proactive Planning of Intelligent Robot Behavior. International Conference on Multimedia and Ubiquitous Engineering Busan, Korea: 244-248.
  6. Kelley, R., A. Tavakkoli, et al. (2008). Understanding Human Intentions Via Hidden Markov Models in Autonomous Mobile Robots. 3rd ACM/IEEE International Conference on Human Robot Interaction Amsterdam: 367-374.
  7. Martin, D., M. Burstein, et al. (2004). "OWL-S: Semantic Markup of Web Services." from http://www.w3.org/ Submission/OWL-S/.
  8. Pereira, L. M. and H. T. Ahn (2009). Elder care via intention recognition and evolution prospection. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP'09). Evora, Portugal.
  9. Philipose, M., K. Fishkin, et al. (2005). "Inferring ADLs from interactions with objects." IEEE Pervasive Computing.
  10. Rao, A. S. and M. P. Georgeff (1991). Modeling rational agents within a BDI-architecture. Second International Conference on Principles of Knowledge Representation and Reasoning. J. Allen, R. Fikes and E. Sandewall. San Mateo, CA.
  11. Sadri, F. (2011). Logic-Based Approaches to Intention Recognition. Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives. N.-Y. Chong and F. Mastrogiovanni: 346-375.
  12. Schlenoff, C., E. Prestes, et al. (2012). An IEEE Standard Ontology for Robotics and Automation. to be published in Bridges Between the Methodological and Practical Work of the Robotics and Cognitive Systems Communities - From Sensors to Concepts. A. Chibani, Springer-Verlag.
  13. Schrempf, O. and U. Hanebeck (2005). A Generic Model for Estimating User-Intentions in Human-Robot Cooperation. 2nd International Conference on Informatics in Control, Automation, and Robotics ICINCO 05 Barcelona: 250-256.
  14. Szabo, S., R. Norcross, et al. (2011). "Safety of HumanRobot Collaboration Systems Project." from http:// www.nist.gov/el/isd/ps/safhumrobcollsys.cfm.
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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