Sediment sampling in estuarine mudflats with an aerial-ground robotic team

dc.contributor.authorDeusdado, P.
dc.contributor.authorGuedes, M.
dc.contributor.authorSilva, A.
dc.contributor.authorMarques, F.
dc.contributor.authorPinto, E.
dc.contributor.authorRodrigues, P.
dc.contributor.authorLourenço, A.
dc.contributor.authorMendonça, R.
dc.contributor.authorSantana, P.
dc.contributor.authorCorisco, J.
dc.contributor.authorAlmeida, S. M.
dc.contributor.authorPortugal, L.
dc.contributor.authorCaldeira, R.
dc.contributor.authorBarata, J.
dc.contributor.authorFlores, L.
dc.date.accessioned2017-04-04T16:30:59Z
dc.date.available2017-04-04T16:30:59Z
dc.date.issued2016
dc.date.updated2019-04-12T09:30:09Z
dc.description.abstractThis paper presents a robotic team suited for bottom sediment sampling and retrieval in mudflats, targeting environmental monitoring tasks. The robotic team encompasses a four-wheel-steering ground vehicle, equipped with a drilling tool designed to be able to retain wet soil, and a multi-rotor aerial vehicle for dynamic aerial imagery acquisition. On-demand aerial imagery, properly fused on an aerial mosaic, is used by remote human operators for specifying the robotic mission and supervising its execution. This is crucial for the success of an environmental monitoring study, as often it depends on human expertise to ensure the statistical significance and accuracy of the sampling procedures. Although the literature is rich on environmental monitoring sampling procedures, in mudflats, there is a gap as regards including robotic elements. This paper closes this gap by also proposing a preliminary experimental protocol tailored to exploit the capabilities offered by the robotic system. Field trials in the south bank of the river Tagus’ estuary show the ability of the robotic system to successfully extract and transport bottom sediment samples for offline analysis. The results also show the efficiency of the extraction and the benefits when compared to (conventional) human-based sampling.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.distributionInternacionalpor
dc.identifier.doi10.3390/s16091461
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10071/12747
dc.journalSensors
dc.language.isoeng
dc.number9
dc.pagination1-31por
dc.peerreviewedyes
dc.publicationstatusPublicadopor
dc.publisherMultidisciplinary Digital Publishing Institute
dc.relationLISBOA-01-0202-FEDER-024961
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147328/PT
dc.rightsopen accesspor
dc.subjectMulti-robot systemeng
dc.subjectField robotseng
dc.subjectUGVeng
dc.subjectUAVeng
dc.subjectEnvironmental monitoringeng
dc.subjectRadiological monitoringeng
dc.subjectHeavy Metals monitoringeng
dc.subjectEstuarine mudflatseng
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências Químicaspor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.titleSediment sampling in estuarine mudflats with an aerial-ground robotic teameng
dc.typearticle
dc.volume16
degois.publication.firstPage1por
degois.publication.issue9
degois.publication.lastPage31por
degois.publication.titleSediment sampling in estuarine mudflats with an aerial-ground robotic teameng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-84987719427
iscte.alternateIdentifiers.wosWOS:000385527700122
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-30236

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