Programming Environment for cobots using MR technology

Sempere Maciá, Natalia; Redondo Verdú, Celia; Schmidt, Bernard; Holm, Magnus

his.sePublications

Simple search

Advanced search -
Research publications Advanced search -
Student theses Statistics

English Svenska Norsk

Change search

Cite ExportLink to record

Permanent link

https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23449

Direct link

http://his.diva-portal.org/smash/record.jsf?pid=diva2:1818419

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

Programming Environment for cobots using MR technology

Sempere Maciá, Natalia

University of Skövde, School of Engineering Science.

Redondo Verdú, Celia

University of Skövde, School of Engineering Science.

Schmidt, Bernard

University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-8906-630X

Holm, Magnus

University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-1699-3778

2024 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 126, p. 194-199Article in journal (Refereed) Published

Abstract [en]

This paper presents a Mixed reality (MR) environment to support industrial cobots programming for welding purposes. Several intuitive menus allow a user to program the path, which can be configured and simulated in the virtual environment with reachability checking. A guide can be activated to show recommended steps and allows validation of the created program on the virtual robot to aid the learning process. The MR application is integrated with a robot programming platform and a robot controller, that allows the user to test paths on a real robot. Moreover, results from spatial accuracy and user experience evaluations are presented.

Place, publisher, year, edition, pages

Elsevier, 2024. Vol. 126, p. 194-199

Keywords [en]

Mixed reality, augmented reality, human-robot interaction, safety

National Category

Production Engineering, Human Work Science and Ergonomics

Research subject

Virtual Production Development (VPD); VF-KDO

Identifiers

URN: urn:nbn:se:his:diva-23449DOI: 10.1016/j.procir.2024.08.323Scopus ID: 2-s2.0-85208591935OAI: oai:DiVA.org:his-23449DiVA, id: diva2:1818419

Conference

17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023

Projects

ACCURATE

Part of project

Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation

Funder

Knowledge Foundation

Note

CC BY-NC-ND 4.0 DEED

Corresponding author: Tel.: +46-500-44-8547; fax: +46-500-44-8598. E-mail address: bernard.schmidt@his.se

The authors thank Tommy Y. Svensson from ABB Robotics for the kind support. This work was partially financed by the Knowledge Foundation (KKS), Sweden, through the ACCURATE project (2021-2025) and VF-KDO project (2019-2026). The work was located at ASSAR Industrial Innovation Arena Skövde as part of a Bachelor's Degree Project.

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2024-11-21Bibliographically approved

Open Access in DiVA

fulltext(891 kB)

5 downloads

File information

File name FULLTEXT01.pdfFile size 891 kBChecksum SHA-512

ffc87c57602daa8cf8ddf18e4b78d6ce8544768d1dea11ce36aac0a2a48cc4755b244e562dff0840ea78e8f2ad0018cc45c151e65c5d7e24161316647f7add94

Type fulltextMimetype application/pdf

Authority records

Sempere Maciá, Natalia Redondo Verdú, Celia Schmidt, Bernard Holm, Magnus

Search in DiVA

Total: 5 downloads

The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi

urn-nbn

Total: 297 hits