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ROS-enabled DIY and open-source wheeled robots for higher education learning and competitions: A systematic review

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorPereira, Rúben
dc.contributor.authorBENEDITA CAMPOS NEVES MALHEIRO, MARIA
dc.contributor.authorSilva, Manuel
dc.date.accessioned2026-07-06T08:46:28Z
dc.date.available2026-07-06T08:46:28Z
dc.date.issued2026
dc.description.abstractThis study systematically characterizes Do It Yourself (DIY) and open-source wheeled robotic platforms used in higher education and academic competitions. It also analyzes Robot Operating System (ROS)-based designs with respect to real-time performance and multi-sensor integration, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. A total of 20 high-quality studies were identified across five major digital libraries (Dimensions, Web of Science, SpringerLink, ScienceDirect, and IEEE Xplore), which were searched on 12 January 2026. Eligibility was restricted to peer-reviewed English-language studies published between 2005 and 2026 that explicitly implement ROS-based wheeled platforms in higher education contexts. Results were synthesized through qualitative analysis using a structured data extraction form implemented in the Parsifal systematic review platform. Methodological quality and risk of bias were assessed using a structured appraisal checklist. The results show a dominant trend toward distributed dual-processor architectures, which separate low-level real-time control from high-level processing. Most platforms target an accessible price range of 50€ to 500€ for open-source and DIY platforms. ROS has emerged as the standard middleware, enabling multi-sensor integration and supporting digital twin workflows. There is also a clear shift toward open-source hardware and Three-Dimensional (3D)-printed modular designs, which reduce production costs. However, challenges remain, including software obsolescence and the lack of maintenance plans. The findings highlight the need for interoperable reference architectures and automated deployment workflows to ensure long-term sustainability. Evidence is limited by heterogeneity, inconsistent reporting, and small sample sizes, which introduce risks of bias and imprecision. This review was formally registered with protocols.io.eng
dc.identifier.citationPereira, R.; Malheiro, B.; Silva, M.F. ROS-Enabled DIY and Open-Source Wheeled Robots for Higher Education Learning and Competitions: A Systematic Review. Robotics 2026, 15, 123. https://doi.org/10.3390/robotics15070123
dc.identifier.doi10.3390/robotics15070123
dc.identifier.issn2218-6581
dc.identifier.urihttp://hdl.handle.net/10400.22/32543
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI AG
dc.relationUID/50014/2025
dc.relation.hasversionhttps://www.mdpi.com/2218-6581/15/7/123
dc.relation.ispartofRobotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDIY robotics
dc.subjectopen-source robotics
dc.subjectwheeled mobile robots
dc.subjecteducational robotics
dc.subjectacademic robotics competitions
dc.subjectrobot operating system
dc.subjectsystematic review
dc.subjectPRISMA
dc.titleROS-enabled DIY and open-source wheeled robots for higher education learning and competitions: A systematic revieweng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage123-21
oaire.citation.issue7
oaire.citation.startPage123-1
oaire.citation.titleRobotics
oaire.citation.volume15
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameBENEDITA CAMPOS NEVES MALHEIRO
person.familyNameSilva
person.givenNameMARIA
person.givenNameManuel
person.identifierR-000-A3Q
person.identifier.ciencia-id7A15-08FC-4430
person.identifier.ciencia-idAB11-C518-AF50
person.identifier.orcid0000-0001-9083-4292
person.identifier.orcid0000-0002-0593-2865
person.identifier.ridM-5767-2013
person.identifier.scopus-author-id55934287000
relation.isAuthorOfPublicationbabd4fda-654a-4b59-952d-6113eebbb308
relation.isAuthorOfPublication06ad158b-a73e-4c2e-9ea6-5c023ba9b4cc
relation.isAuthorOfPublication.latestForDiscoverybabd4fda-654a-4b59-952d-6113eebbb308

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