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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
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.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/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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