Publicação
A virtual reality-based learning environment for human - robot collaboration training in construction 4.0
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Sabiri, Khadija | |
| dc.contributor.author | Afonso, Luís | |
| dc.contributor.author | Camargo, Caio | |
| dc.contributor.author | Gonçalves, Estefânia | |
| dc.contributor.author | Fernandes, Rui | |
| dc.date.accessioned | 2026-06-16T14:31:03Z | |
| dc.date.available | 2026-06-16T14:31:03Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The rapid digitalization of the construction sector under the Construction 4.0 paradigm demands new training approaches for human-robot collaboration (HRC). Integrating HRC with Virtual Reality (VR) offers a powerful means to enhance workforce competence, safety, and efficiency through immersive and realistic simulations of construction scenarios. This paper presents the design and evaluation of a VR-based Virtual Learning Environment (VLE) developed in Unity 3D to train construction professionals for safe and effective human-robot teamwork. The platform comprises four integrated modules: (i) safety fundamentals, (ii) robot familiarization, (iii) immersive collaboration scenarios, and (iv) performance assessment. A virtual prototype of a construction robot and typical interaction workflows were modeled to simulate real-world operations. An experimental study involving 10 construction professionals evaluated the system using a mixed-methods approach grounded in the Technology Acceptance Model (TAM) and objective task performance metrics. Results demonstrate strong perceived usefulness and ease of use, with participants reporting improved communication, safety awareness, and trust in robotic co-workers. The findings highlight the potential of VR-based training to enhance workforce readiness and advance safe, collaborative practices in the era of Construction 4.0. | eng |
| dc.description.sponsorship | The authors are grateful to European Union's Horizon Europe Research and Innovation Programme for funding this research under the project, Grant Agreement No. 101058731) | |
| dc.identifier.citation | Sabiri, Khadija; Afonso, Luis; Camargo, Caio; Gonçalves, Estefania; Fernandes, Rui (2026). A virtual reality-based learning environment for human - robot collaboration training in construction 4.0. In International Conference on Robotic Computing and Communication, RoboticCC 2025. p. 54-61. ISBN 979-8-3315-4966-4 | |
| dc.identifier.doi | 10.1109/roboticcc68732.2025.00017 | |
| dc.identifier.isbn | 979-8-3315-4966-4 | |
| dc.identifier.uri | http://hdl.handle.net/10198/36896 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| dc.relation | RoBétArmé – Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility, and additive manufacturing skills - 101058731 | |
| dc.relation.ispartof | 2025 International Conference on Robotic Computing and Communication (RoboticCC) | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Virtual reality | |
| dc.subject | Human-robot collaboration | |
| dc.subject | Construction 4.0 | |
| dc.subject | Immersive training | |
| dc.subject | Safety | |
| dc.subject | Workforce development | |
| dc.title | A virtual reality-based learning environment for human - robot collaboration training in construction 4.0 | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | RoBétArmé – Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility, and additive manufacturing skills - 101058731 | |
| oaire.awardURI | http://hdl.handle.net/10198/36893 | |
| oaire.citation.endPage | 61 | |
| oaire.citation.startPage | 54 | |
| oaire.citation.title | International Conference on Robotic Computing and Communication, RoboticCC 2025 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| relation.isProjectOfPublication | 4db29b3b-ec8f-4128-8a15-c49f6b266299 | |
| relation.isProjectOfPublication.latestForDiscovery | 4db29b3b-ec8f-4128-8a15-c49f6b266299 |