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Authors: Bernhard Humm 1 and Guglielmo van der Meer 2

Affiliations: 1 Hochschule Darmstadt, University of Applied Sciences, Darmstadt and Germany ; 2 KUKA Roboter GmbH, Augsburg and Germany

ISBN: 978-989-758-380-3

Keyword(s): Robots, Time Series, Complex Event Detection.

Abstract: This paper presents an approach for detecting domain-specific events based on robot sensor data. Events may be error situations as well as successfully executed manufacturing steps, depending on the application domain at hand. The approach includes segmenting streams of sensor data into meaningful intervals and subsequently matching patterns on those segments. Pattern matching is performed in near real-time allowing events to be detected continuously during the execution of a robotics application. The approach is demonstrated by means of a real-world manufacturing use case, namely the automated assembly of electrical components by a robot. The approach has been implemented prototypically had has been evaluated successfully.

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Paper citation in several formats:
Humm, B. and van der Meer, G. (2019). Detecting Domain-specific Events based on Robot Sensor Data.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 398-405. DOI: 10.5220/0007952503980405

@conference{icinco19,
author={Bernhard G. Humm. and Guglielmo van der Meer.},
title={Detecting Domain-specific Events based on Robot Sensor Data},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={398-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007952503980405},
isbn={978-989-758-380-3},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Detecting Domain-specific Events based on Robot Sensor Data
SN - 978-989-758-380-3
AU - Humm, B.
AU - van der Meer, G.
PY - 2019
SP - 398
EP - 405
DO - 10.5220/0007952503980405

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