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Realistic simulation for dataset generation in a mobile robotics educational context

2026Artigo científico Acesso aberto
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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.authorBrancalião, Laiany Suganuma
dc.contributor.authorAlvarez, Mariano José
dc.contributor.authorCoelho, J. A. B.
dc.contributor.authorConde, Miguel
dc.contributor.authorCosta, Paulo
dc.contributor.authorGonçalves, José
dc.date.accessioned2026-03-02T10:07:15Z
dc.date.available2026-03-02T10:07:15Z
dc.date.issued2026
dc.description.abstractIn the context of mobile robotics education, realistic and accessible datasets are fundamental for supporting the development and testing of algorithms. However, collecting real-world data is a limited and challenging task because it is time-consuming and error-prone. Therefore, this paper presents the generation of a synthetic dataset through realistic simulation using the SimTwo environment—a physics-based simulator, and modeling techniques of sensors and actuators. The physical and simulated mobile robot was developed to perform tasks such as following a line, following a wall, and avoiding obstacles. The proposed approach facilitates the creation of customized datasets for training and evaluation algorithms while supporting remote and inclusive learning. Results show that a simulated dataset can effectively replicate real-world behaviors, making them a valuable resource for educational contexts, research, and development. Some emergent machine learning algorithms can be applied to this dataset, being this approach increasingly used to enhance robot localization, by leveraging ML, robots can improve the accuracy, robustness, and adaptability of their localization systems, especially in complex and dynamic environments.eng
dc.description.sponsorshipThis work was supported by FCT - Fundação para a Ciência eTecnologia, I.P. by PhD Grant 2023.01441.BD (https://doi.org/10.54499/2023.01441.BD) and2023.01113.BDANA (https://doi.org/10.54499/2023.01113.BDANA). This work was alsosupported by FCT - Fundação para a Ciência e Tecnologia, I.P. by projects: CeDRI,UID/05757/2025 (DOI: 10.54499/UID/05757/2025) and UID/PRR/05757/2025 (DOI:10.54499/UID/PRR/05757/2025); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020).
dc.identifier.citationBrancaliao, Laiany; Alvarez, Mariano; Coelho, J. A. B.; Conde, Miguel; Costa, Paulo; Gonçalves, Jose (2026). Realistic simulation for dataset generation in a mobile robotics educational context. Universal Access in the Information Society. ISSN 1615-5289. 25:44, 1-20.
dc.identifier.doi10.1007/s10209-026-01308-9
dc.identifier.issn1615-5289
dc.identifier.issn1615-5297
dc.identifier.urihttp://hdl.handle.net/10198/35902
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relation.ispartofUniversal Access in the Information Society
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectDataset generation
dc.subjectMobile robotics
dc.subjectRealistic simulation
dc.subjectSTEM education
dc.titleRealistic simulation for dataset generation in a mobile robotics educational contexteng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage20
oaire.citation.issue2
oaire.citation.startPage1
oaire.citation.titleUniversal Access in the Information Society
oaire.citation.volume25
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameInstituto Politécnico de Bragança
person.familyNameBrancalião
person.familyNameAlvarez
person.familyNameCoelho
person.familyNameGonçalves
person.givenNameLaiany Suganuma
person.givenNameMariano José
person.givenNameJ. A. B.
person.givenNameJosé
person.identifierR-000-7ZW
person.identifier.ciencia-idDD1C-97FA-B567
person.identifier.ciencia-idBC16-6ADC-AFC4
person.identifier.ciencia-idC81E-7051-4C18
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0002-0257-4361
person.identifier.orcid0000-0001-8680-885X
person.identifier.orcid0009-0004-8278-7579
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id57218109310
person.identifier.scopus-author-id48361230200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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