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2021 | OriginalPaper | Chapter

Event-Driven Knowledge Engineering as Enabling Technology Towards Configuration of Assistance Systems in Industrial Assembly

Authors : Matthias Plasch, Sharath Chandra Akkaladevi, Michael Hofmann, Christian Wögerer, Andreas Pichler

Published in: Sustainable Design and Manufacturing 2020

Publisher: Springer Singapore

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Abstract

Industrial assistance systems are increasingly used in modern production facilities to support employees, in order to cope with varying assembly processes, increased complexity and to reduce mental and physical stress. However, programming and configuring such systems, to provide assistance in a given assembly process context, is a challenging task and usually requires extensive programming knowledge. This paper presents an approach, combining human event recognition together with a semantic knowledge processing framework in order to enable intuitive programming and configuration. The presented method includes learning of assembly process knowledge, based on human demonstration. We demonstrate the applicability of this approach in two use cases: process learning and transfer, and user guidance for manual assembly.

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Metadata
Title
Event-Driven Knowledge Engineering as Enabling Technology Towards Configuration of Assistance Systems in Industrial Assembly
Authors
Matthias Plasch
Sharath Chandra Akkaladevi
Michael Hofmann
Christian Wögerer
Andreas Pichler
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8131-1_24

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