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Hybrid wavefront and bidirectional A* coverage path planning for AGVs in photovoltaic farm inspection

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCastro, Gabriel G.R.
dc.contributor.authorCarvalho, Lucas L. M.
dc.contributor.authorMarques, Diogo G.
dc.contributor.authorLima, José
dc.contributor.authorPinto, Milena F.
dc.date.accessioned2025-12-12T12:04:12Z
dc.date.available2025-12-12T12:04:12Z
dc.date.issued2025
dc.description.abstractThis work presents a novel Coverage Path Planning (CPP) framework integrating theWavefront Algorithm with bidirectional A* to optimize path planning for Autonomous Ground Vehicles (AGVs) that inspect photovoltaic farms. The proposed framework combines the efficient propagation capabilities of the Wavefront Algorithm with the heuristic-driven optimization of bidirectional A*, comparing the results achieved to those from the individual algorithms. The framework was validated in a Software-In-The-Loop (SITL) simulation environment using Gazebo and the Robot Operating System (ROS), focusing on AGV-based inspection of ground infrastructure and cables beneath solar panels. The outcomes demonstrate significant coverage efficiency and overall robustness.eng
dc.description.sponsorshipThis work was supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI:10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI:10.54499/UIDB/05757/2020); SusTEC, LA/P/0007/2020(DOI: 10.54499/LA/P/0007/2020). The authors would like to thank the following Brazilian Federal Agencies, CEFET/RJ, FAPERJ, CNPq, INESC P&D Brasil, and IPB for supporting this research. This work was carried out with the support of the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
dc.identifier.citationCastro, Gabriel G.R.; Carvalho,ucas L.M.; Marques, Diogo G.; Lima,José; Pinto, Milena F. (2025). Hybrid wavefront and bidirectional A* coverage path planning for AGVs in photovoltaic farm inspection. In International Conference on Autonomous Robot Systems and Competitions-ICARSC-Annual. Funchal, Portugal. p.64-69.
dc.identifier.doi10.1109/icarsc65809.2025.10970161
dc.identifier.urihttp://hdl.handle.net/10198/35212
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relation.ispartof2025 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectAutonomous Ground Vehicle
dc.subjectRobotic Path Planning
dc.subjectRenewable Energy Systems
dc.titleHybrid wavefront and bidirectional A* coverage path planning for AGVs in photovoltaic farm inspectioneng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDP/05757/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
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.conferenceDate2025
oaire.citation.conferencePlaceFunchal, Portugal
oaire.citation.endPage69
oaire.citation.startPage64
oaire.citation.titleInternational Conference on Autonomous Robot Systems and Competitions-ICARSC-Annual
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLima
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
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
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isProjectOfPublicationd0a17270-80a8-4985-9644-a04c2a9f2dff
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
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