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Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competition

2024Conference paper Restricted access
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dc.contributor.authorBraun, João
dc.contributor.authorBaidi, Kaïs
dc.contributor.authorBonzatto, Luciano
dc.contributor.authorBerger, Guido
dc.contributor.authorPinto, Milena F.
dc.contributor.authorKalbermatter, Rebeca B.
dc.contributor.authorKlein, Luan C.
dc.contributor.authorGrilo, Vinicius F.S.B.
dc.contributor.authorPereira, Ana I.
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorLima, José
dc.date.accessioned2025-02-11T11:07:07Z
dc.date.available2025-02-11T11:07:07Z
dc.date.issued2024
dc.description.abstractRobotics competitions are highly strategic tools to engage and motivate students, cultivating their curiosity and enthusiasm for technology and robotics. These competitions encompass various disciplines, such as programming, electronics, control systems, and prototyping, often beginning with developing a mobile platform. This paper focuses on designing and implementing an omnidirectional mecanum platform, encompassing aspects of mechatronics, mechanics, electronics, kinematics models, and control. Additionally, a simulation model is introduced and compared with the physical robot, providing a means to validate the proposed platform.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028. The authors would like to thank CEFET/RJ and the Brazilian research agencies CAPES, CNPq, and FAPERJ.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBraun, João; Baidi, Kaïs; Bonzatto, Luciano; Berger, Guido; Pinto, Milena; Kalbermatter, Rebeca B.; Klein, Luan; Grilo, Vinicius; Pereira, Ana I.; Costa, Paulo; Lima, José (2024). Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competition. In 26th International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR 2023). Cham: Springer Nature, p. 114-125. ISBN 978-3-031-47268-8.pt_PT
dc.identifier.doi10.1007/978-3-031-47269-5_13pt_PT
dc.identifier.eissn2367-3389
dc.identifier.isbn978-3-031-47268-8
dc.identifier.issn2367-3370
dc.identifier.urihttp://hdl.handle.net/10198/31170
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEngineering educationpt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectOmnidirectional robotpt_PT
dc.subjectPrototypingpt_PT
dc.subjectSimulationpt_PT
dc.subjectKinematicspt_PT
dc.subjectControl theorypt_PT
dc.subjectEducation 4.0pt_PT
dc.subjectRobotics competitionpt_PT
dc.titleDesign and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competitionpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage125pt_PT
oaire.citation.startPage114pt_PT
oaire.citation.title26th International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR 2023)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBraun
person.familyNameBerger
person.familyNameKalbermatter
person.familyNamePereira
person.familyNameLima
person.givenNameJoão A.
person.givenNameGuido
person.givenNameRebeca B.
person.givenNameAna I.
person.givenNameJosé
person.identifierR-000-8GD
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person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0002-4100-1494
person.identifier.orcid0000-0002-5219-4084
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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