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Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review

2022-01Journal article Restricted access
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dc.contributor.authorSimões, Ana Correia
dc.contributor.authorPinto, Ana
dc.contributor.authorSantos, Joana
dc.contributor.authorPinheiro, Sofia
dc.contributor.authorRomero, David
dc.date.accessioned2022-04-28T12:31:07Z
dc.date.available2022-04-28T12:31:07Z
dc.date.issued2022-01
dc.description.abstractIn the pursuit of increasing efficiency, productivity and flexibility at production lines and their corresponding workstations, manufacturing companies have started to heavily invest in “collaborative workspaces” where close interaction between humans and robots promises to lead to these goals that neither can achieve on their own. Therefore, it is necessary to know the contributions, recommendations and guidelines that literature presents in terms of designing a manufacturing workplace where humans and cobots interact with each other to accomplish the defined objectives. These aspects need to be explored in an integrated and multidisciplinary way to maximize human involvement in the decision chain and to promote wellbeing and quality of work. This paper presents a systematic literature review on designing human-robot collaboration (HRC) workspaces for humans and robots in industrial settings. The study involved 252 articles in international journals and conferences proceedings published till 2019. A detailed selection process led to including 65 articles to further analysis. A framework that represents the complexity levels of the influencing factors presented in human-robot interaction (HRI) contexts was developed for the content analysis. Based on this framework the guidelines and recommendations of the analysed articles are presented in three categories: Category 1 – the first level of complexity, which considers only one specific influencing factor in the HRI. This category was split into two: human operator, and technology; Category 2 – the second level of complexity, includes recommendations and guidelines related to human-robot team’s performance, and thus several influencing factors are present in the HRI; and, finally, Category 3 – the third level of complexity, where recommendations and guidelines for more complex and holistic approaches in the HRI are presented. The literature offers contributions from several knowledge areas capable to design safe, ergonomic, sustainable, and healthy human-centred workplaces where not only technical but also social and psychophysical aspects of collaboration are considered.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSimões, A. C., Pinto, A., Santos, J., Pinheiro, S., & Romero, D. (2022). Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review. Journal of Manufacturing Systems, 62, 28-43. https://doi.org/https://doi.org/10.1016/j.jmsy.2021.11.007pt_PT
dc.identifier.doi10.1016/j.jmsy.2021.11.007pt_PT
dc.identifier.eissn1878-6642
dc.identifier.issn0278-6125
dc.identifier.urihttp://hdl.handle.net/10400.22/20419
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0278612521002296pt_PT
dc.subjectHuman-robot interaction (HRI)pt_PT
dc.subjectCollaborative robots (cobots)pt_PT
dc.subjectHuman-centred automationpt_PT
dc.subjectHuman factorspt_PT
dc.subjectErgonomicspt_PT
dc.titleDesigning human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage43pt_PT
oaire.citation.startPage28pt_PT
oaire.citation.titleJournal of Manufacturing Systemspt_PT
oaire.citation.volume62pt_PT
person.familyNameSantos
person.givenNameJoana
person.identifier.ciencia-id0B12-58BF-915C
person.identifier.orcid0000-0002-2777-3244
person.identifier.scopus-author-id56746987300
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa4cdd7ab-26fd-4c58-911b-617fd5d85c39
relation.isAuthorOfPublication.latestForDiscoverya4cdd7ab-26fd-4c58-911b-617fd5d85c39

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