Framework for Reducing the Complexity of Programming Robot Skills

Michael Hofmann, Matthias Propst, Markus Ikeda, Andreas Pichler, Fabian Spitzer, Roman Froschauer

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

In the field of manufacturing, modern approaches like skills based programming are applied to robot controllers using well adopted standards for communication like the Open Platform Communications-Unified Architecture (OPC UA) [1] standard. The current research focuses at defining OPC UA models to enable skill based programming for robot controllers. This defines a complex environment for a process programmer, who has to implement a manufacturing process represented as a skill at a high level domain. This work attempts to reduce the programming effort of implementing a skill by reducing the complexity for programming the process executed by the robot. This is achieved by introducing a framework assuming a little to no prior knowledge of OPC UA. This work will verify the reduction of complexity by analysing the code complexity and by analysing the knowledge domains used.

OriginalspracheEnglisch
TitelFlexible Automation and Intelligent Manufacturing
UntertitelThe Human-Data-Technology Nexus - Proceedings of FAIM 2022
Redakteure/-innenKyoung-Yun Kim, Jeremy Rickli, Leslie Monplaisir
Herausgeber (Verlag)Springer
Seiten592-604
Seitenumfang13
ISBN (Print)9783031176289
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung31st International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2022 - Detroit, USA/Vereinigte Staaten
Dauer: 19 Juni 202223 Juni 2022

Publikationsreihe

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (elektronisch)2195-4364

Konferenz

Konferenz31st International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2022
Land/GebietUSA/Vereinigte Staaten
OrtDetroit
Zeitraum19.06.202223.06.2022

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