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Authors: Sebastian Bader 1 and Mario Aehnelt 2

Affiliations: 1 University of Rostock, Germany ; 2 Fraunhofer IGD, Germany

ISBN: 978-989-758-015-4

Keyword(s): Assembly Tracking, Smart Factory, Assistance, Task Trees, Hidden Markov Models.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bayesian Networks ; Enterprise Information Systems ; Industrial Applications of AI ; Knowledge Representation and Reasoning ; Soft Computing ; Symbolic Systems ; Uncertainty in AI

Abstract: Tracking assembly processes is a necessary prerequisite to provide assistance in smart factories. In this paper, we show how to track the construction of complex components. For this we employ formal task models as background knowledge and simple sensors like RFIDs. The background knowledge is converted into a probabilistic model that actually tracks the process. As a result, we are able to provide assistance in smart factories. We discuss the performance of the approach, as well as potential applications.

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Paper citation in several formats:
Bader, S. and Aehnelt, M. (2014). Tracking Assembly Processes and Providing Assistance in Smart Factories.In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 161-168. DOI: 10.5220/0004822701610168

@conference{icaart14,
author={Sebastian Bader. and Mario Aehnelt.},
title={Tracking Assembly Processes and Providing Assistance in Smart Factories},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004822701610168},
isbn={978-989-758-015-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Tracking Assembly Processes and Providing Assistance in Smart Factories
SN - 978-989-758-015-4
AU - Bader, S.
AU - Aehnelt, M.
PY - 2014
SP - 161
EP - 168
DO - 10.5220/0004822701610168

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