Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Assessing Instructions in Augmented Reality for Human-robot Collaborative Assembly by Using Demonstrators
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
2017 (English)In: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems, Elsevier, 2017, Vol. 63, p. 89-94Conference paper, Published paper (Refereed)
Abstract [en]

Robots are becoming more adaptive and aware of their surroundings. This has opened up the research area of tight human-robot collaboration, where humans and robots work directly interconnected rather than in separate cells. The manufacturing industry is in constant need of developing new products. This means that operators are in constant need of learning new ways of manufacturing. If instructions to operators and interaction between operators and robots can be virtualized this has the potential of being more modifiable and available to the operators. Augmented Reality has previously shown to be effective in giving operators instructions in assembly, but there are still knowledge gaps regarding evaluation and general design guidelines. This paper has two aims. Firstly it aims to assess if demonstrators can be used to simulate human-robot collaboration. Secondly it aims to assess if Augmented Reality-based interfaces can be used to guide test-persons through a previously unknown assembly procedure. The long-term goal of the demonstrator is to function as a test-module for how to efficiently instruct operators collaborating with a robot. Pilot-tests have shown that Augmented Reality instructions can give enough information for untrained workers to perform simple assembly-tasks where parts of the steps are done with direct collaboration with a robot. Misunderstandings of the instructions from the test-persons led to multiple errors during assembly so future research is needed in how to efficiently design instructions.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 63, p. 89-94
Series
Procedia CIRP, ISSN 2212-8271 ; 63
Keywords [en]
Assembly, Augmented Reality, Human Robot Collaboration
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-214650DOI: 10.1016/j.procir.2017.02.038ISI: 000418465500015Scopus ID: 2-s2.0-85028641292OAI: oai:DiVA.org:kth-214650DiVA, id: diva2:1142533
Conference
50th CIRP Conference on Manufacturing Systems, CIRP CMS 2017, Taichung City HallTaichung, Taiwan, 3 May 2017 through 5 May 2017
Note

QC 20170919

Available from: 2017-09-19 Created: 2017-09-19 Last updated: 2018-01-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Wang, Lihui
By organisation
Production Systems
Robotics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 42 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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