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Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives

2022Journal article Open access
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dc.contributor.authorBermúdez i Badia, Sergi
dc.contributor.authorSilva, Paula Alexandra
dc.contributor.authorBranco, Diogo
dc.contributor.authorPinto, Ana
dc.contributor.authorCarvalho, Carla
dc.contributor.authorMenezes, Paulo
dc.contributor.authorAlmeida, Jorge
dc.contributor.authorPilacinski, Artur
dc.date.accessioned2022-07-22T10:35:48Z
dc.date.available2022-07-22T10:35:48Z
dc.date.issued2022
dc.description.abstractCollaborative robots (cobots) could help humans in tasks that are mundane, dangerous or where direct human contact carries risk. Yet, the collaboration between humans and robots is severely limited by the aspects of the safety and comfort of human operators. In this paper, we outline the use of extended reality (XR) as a way to test and develop collaboration with robots. We focus on virtual reality (VR) in simulating collaboration scenarios and the use of cobot digital twins. This is specifically useful in situations that are difficult or even impossible to safely test in real life, such as dangerous scenarios. We describe using XR simulations as a means to evaluate collaboration with robots without putting humans at harm. We show how an XR setting enables combining human behavioral data, subjective self-reports, and biosignals signifying human comfort, stress and cognitive load during collaboration. Several works demonstrate XR can be used to train human operators and provide them with augmented reality (AR) interfaces to enhance their performance with robots. We also provide a first attempt at what could become the basis for a human–robot collaboration testing framework, specifically for designing and testing factors affecting human–robot collaboration. The use of XR has the potential to change the way we design and test cobots, and train cobot operators, in a range of applications: from industry, through healthcare, to space operations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBermúdez i Badia, S., Silva, P. A., Branco, D., Pinto, A., Carvalho, C., Menezes, P., ... & Pilacinski, A. (2022). Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives. Electronics, 11(11), 1726.pt_PT
dc.identifier.doi10.3390/electronics11111726pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4451
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationWhat defines an affordance? The diagnosticity of visual features for the differention of affordances
dc.relationNOVA Laboratory for Computer Science and Informatics
dc.relationEcoVR: An Open-Source Framework to Increase Ecological Validity in Virtual Reality Experiences.
dc.relationCentre for Business and Economics Research - University of Coimbra
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCollaborative roboticspt_PT
dc.subjectAcceptabilitypt_PT
dc.subjectUncanny valleypt_PT
dc.subjectUser experiencept_PT
dc.subjectAugmented realitypt_PT
dc.subjectVirtual realitypt_PT
dc.subjectExtended realitypt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleVirtual reality for safe testing and development in collaborative robotics: challenges and perspectivespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleWhat defines an affordance? The diagnosticity of visual features for the differention of affordances
oaire.awardTitleNOVA Laboratory for Computer Science and Informatics
oaire.awardTitleEcoVR: An Open-Source Framework to Increase Ecological Validity in Virtual Reality Experiences.
oaire.awardTitleCentre for Business and Economics Research - University of Coimbra
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FMHC-PCN%2F6805%2F2014/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/2021.05646.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05037%2F2020/PT
oaire.citation.issue11pt_PT
oaire.citation.startPage1726pt_PT
oaire.citation.titleElectronicspt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
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oaire.fundingStream6817 - DCRRNI ID
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person.familyNameSilva
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person.givenNameSergi
person.givenNamePaula Alexandra
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person.givenNamePaulo
person.givenNameArtur
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project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
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project.funder.nameFundação para a Ciência e a Tecnologia
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rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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