Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.13/4451 |
Resumo: | Collaborative 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. |
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Virtual reality for safe testing and development in collaborative robotics: challenges and perspectivesCollaborative roboticsAcceptabilityUncanny valleyUser experienceAugmented realityVirtual realityExtended reality.Faculdade de Ciências Exatas e da EngenhariaCollaborative 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.MDPIDigitUMaBermúdez i Badia, SergiSilva, Paula AlexandraBranco, DiogoPinto, AnaCarvalho, CarlaMenezes, PauloAlmeida, JorgePilacinski, Artur2022-07-22T10:35:48Z2022-01-01T00:00:00Z2022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/4451engBermúdez 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), 1726.10.3390/electronics11111726info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:57:46Zoai:digituma.uma.pt:10400.13/4451Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:08:29.173984Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
title |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
spellingShingle |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives Bermúdez i Badia, Sergi Collaborative robotics Acceptability Uncanny valley User experience Augmented reality Virtual reality Extended reality . Faculdade de Ciências Exatas e da Engenharia |
title_short |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
title_full |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
title_fullStr |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
title_full_unstemmed |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
title_sort |
Virtual reality for safe testing and development in collaborative robotics: challenges and perspectives |
author |
Bermúdez i Badia, Sergi |
author_facet |
Bermúdez i Badia, Sergi Silva, Paula Alexandra Branco, Diogo Pinto, Ana Carvalho, Carla Menezes, Paulo Almeida, Jorge Pilacinski, Artur |
author_role |
author |
author2 |
Silva, Paula Alexandra Branco, Diogo Pinto, Ana Carvalho, Carla Menezes, Paulo Almeida, Jorge Pilacinski, Artur |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
DigitUMa |
dc.contributor.author.fl_str_mv |
Bermúdez i Badia, Sergi Silva, Paula Alexandra Branco, Diogo Pinto, Ana Carvalho, Carla Menezes, Paulo Almeida, Jorge Pilacinski, Artur |
dc.subject.por.fl_str_mv |
Collaborative robotics Acceptability Uncanny valley User experience Augmented reality Virtual reality Extended reality . Faculdade de Ciências Exatas e da Engenharia |
topic |
Collaborative robotics Acceptability Uncanny valley User experience Augmented reality Virtual reality Extended reality . Faculdade de Ciências Exatas e da Engenharia |
description |
Collaborative 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-22T10:35:48Z 2022-01-01T00:00:00Z 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.13/4451 |
url |
http://hdl.handle.net/10400.13/4451 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bermúdez 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. 10.3390/electronics11111726 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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