Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Virtual commissioning of a robotic cell: An educational case study
Dept. of Electronics and Computing, Mondragon Unibertsitatea, Arrasate-Mondragón, Spain.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)
Dept. of Electronics and Computing, Mondragon Unibertsitatea, Arrasate-Mondragón, Spain.
2019 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, IEEE, 2019, p. 820-825Conference paper, Published paper (Refereed)
Abstract [en]

The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light the need for competent technicians in these technologies. The academic environment can support the education of future professionals by reproducing and solving industrial problems in the classroom. This article presents a use case in which students work on a project to develop and validate the control system of a robotic cell. The study compares the conventional way of working against the use of a digital twin and exposes the benefits of it. 

Place, publisher, year, edition, pages
IEEE, 2019. p. 820-825
Series
IEEE International Conference on Emerging Technologies and Factory Automation, ISSN 1946-0740, E-ISSN 1946-0759
Keywords [en]
automation, digital twin, education, emulation, modelling, virtual commissioning, E-learning, factory automation, marking machines, models, robotics, software testing, Virtual reality, Academic environment, Control program, Industrial automation, Industrial problem, Software tools for testing, Quality control
National Category
Robotics Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-17857DOI: 10.1109/ETFA.2019.8869373ISI: 000556596600105Scopus ID: 2-s2.0-85074196698ISBN: 978-1-7281-0303-7 (electronic)ISBN: 978-1-7281-0302-0 (electronic)ISBN: 978-1-7281-0304-4 (print)OAI: oai:DiVA.org:his-17857DiVA, id: diva2:1368633
Conference
24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019, Zaragoza, Spain, 10-13 Sept. 2019
Available from: 2019-11-07 Created: 2019-11-07 Last updated: 2020-08-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ayani Eguía, Mikel

Search in DiVA

By author/editor
Ayani Eguía, Mikel
By organisation
School of Engineering ScienceThe Virtual Systems Research Centre
RoboticsProduction Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 524 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf