Augmented Reality for Supporting Workers in Human–Robot Collaboration

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dc.contributor.authorMoya, Ana
dc.contributor.authorBastida, Leire
dc.contributor.authorAguirrezabal, Pablo
dc.contributor.authorPantano, Matteo
dc.contributor.authorAbril-Jiménez, Patricia
dc.contributor.institutionADV_INTER_PLAT
dc.contributor.institutionVISUAL
dc.date.issued2023-04-10
dc.descriptionPublisher Copyright: © 2023 by the authors.
dc.description.abstractThis paper discusses the potential benefits of using augmented reality (AR) technology to enhance human–robot collaborative industrial processes. The authors describe a real-world use case at Siemens premises in which an AR-based authoring tool is used to reduce cognitive load, assist human workers in training robots, and support calibration and inspection tasks during assembly tasks. The study highlights the potential of AR as a solution for optimizing human–robot collaboration and improving productivity. The article describes the methodology used to deploy and evaluate the ARContent tool, which demonstrated improved usability, reduced task load, and increased efficiency in the assembly process. However, the study is limited by the restricted availability of workers and their knowledge of assembly tasks with robots. The authors suggest that future work should focus on testing the ARContent tool with a larger user pool and improving the authoring tool based on the shortcomings identified during the study. Overall, this work shows the potential for AR technology to revolutionize industrial processes and improve collaboration between humans and robots.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent4173565
dc.identifier.citationMoya , A , Bastida , L , Aguirrezabal , P , Pantano , M & Abril-Jiménez , P 2023 , ' Augmented Reality for Supporting Workers in Human–Robot Collaboration ' , Multimodal Technologies and Interaction , vol. 7 , no. 4 , 40 , pp. 40 . https://doi.org/10.3390/mti7040040
dc.identifier.doi10.3390/mti7040040
dc.identifier.issn2414-4088
dc.identifier.otherresearchoutputwizard: 11556/1459
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85153709336&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofMultimodal Technologies and Interaction
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAugmented reality
dc.subject.keywordsHuman–robot collaboration
dc.subject.keywordsCollaborative robotics
dc.subject.keywordsGuidance
dc.subject.keywordsConnected factory
dc.subject.keywordsIndustry 5.0
dc.subject.keywordsAugmented reality
dc.subject.keywordsHuman–robot collaboration
dc.subject.keywordsCollaborative robotics
dc.subject.keywordsGuidance
dc.subject.keywordsConnected factory
dc.subject.keywordsIndustry 5.0
dc.subject.keywordsNeuroscience (miscellaneous)
dc.subject.keywordsHuman-Computer Interaction
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsSDG 9 - Industry, Innovation, and Infrastructure
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/873087/EU/Smart Human Oriented Platform for Connected Factories/SHOP4CF
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/873087/EU/Smart Human Oriented Platform for Connected Factories/SHOP4CF
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research received funding from the European Union’s Horizon 2020 research 765 and Innovation Programme under grant agreement No. 873087. The results obtained in this work reflect only the authors views and not the ones of the European Commission; the Commission is not responsible for any use that may be made of the information they contain.
dc.subject.keywordsThis research received funding from the European Union’s Horizon 2020 research 765 and Innovation Programme under grant agreement No. 873087. The results obtained in this work reflect only the authors views and not the ones of the European Commission; the Commission is not responsible for any use that may be made of the information they contain.
dc.titleAugmented Reality for Supporting Workers in Human–Robot Collaborationen
dc.typejournal article
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