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Assessing Instructions in Augmented Reality for Human-Robot Collaborative Assembly by Using Demonstrators
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and automation engineering)ORCID iD: 0000-0001-9512-7554
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and automation engineering)ORCID iD: 0000-0003-3973-3394
Volvo Car Corporation, Skövde, Sweden.
KTH Royal Institute of Technology, Kungliga Tekniska högskolan, Stockholm.ORCID iD: 0000-0001-8679-8049
2017 (English)In: Manufacturing Systems 4.0 - Proceedings of the 50th CIRP Conference on Manufacturing Systems / [ed] Mitchell M. Tseng, Elsevier, 2017, Vol. 63, 89-94 p.Conference 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 ofdeveloping new products. This means that operators are in constant need of learning new ways of manufacturing. If instructions to operatorsand 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 gapsregarding evaluation and general design guidelines. This paper has two aims. Firstly it aims to assess if demonstrators can be used to simulatehuman-robot collaboration. Secondly it aims to assess if Augmented Reality-based interfaces can be used to guide test-persons through apreviously unknown assembly procedure. The long-term goal of the demonstrator is to function as a test-module for how to efficiently instructoperators collaborating with a robot. Pilot-tests have shown that Augmented Reality instructions can give enough information for untrainedworkers to perform simple assembly-tasks where parts of the steps are done with direct collaboration with a robot. Misunderstandings of theinstructions 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, 89-94 p.
Series
Procedia CIRP, E-ISSN 2212-8271 ; 63
Keyword [en]
Augmented Reality, Human Robot Collaboration, Assembly
National Category
Robotics
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14023DOI: 10.1016/j.procir.2017.02.038OAI: oai:DiVA.org:his-14023DiVA: diva2:1135252
Conference
The 50th CIRP Conference on Manufacturing Systems, Taichung City, Taiwan on May 3rd – 5th, 2017
Projects
SYMBIO-TIC
Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2017-08-28Bibliographically approved

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CiteExportLink to record
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Citation style
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