Sediment sampling in estuarine mudflats with an aerial-ground robotic team
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/12747 |
Resumo: | This 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. |
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Sediment sampling in estuarine mudflats with an aerial-ground robotic teamMulti-robot systemField robotsUGVUAVEnvironmental monitoringRadiological monitoringHeavy Metals monitoringEstuarine mudflatsThis 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.Multidisciplinary Digital Publishing Institute2017-04-04T16:30:59Z2016-01-01T00:00:00Z20162019-04-12T09:30:09Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/12747eng1424-822010.3390/s16091461Deusdado, P.Guedes, M.Silva, A.Marques, F.Pinto, E.Rodrigues, P.Lourenço, A.Mendonça, R.Santana, P.Corisco, J.Almeida, S. M.Portugal, L.Caldeira, R.Barata, J.Flores, L.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:59:15Zoai:repositorio.iscte-iul.pt:10071/12747Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:31:04.172775Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
title |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
spellingShingle |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team Deusdado, P. Multi-robot system Field robots UGV UAV Environmental monitoring Radiological monitoring Heavy Metals monitoring Estuarine mudflats |
title_short |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
title_full |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
title_fullStr |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
title_full_unstemmed |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
title_sort |
Sediment sampling in estuarine mudflats with an aerial-ground robotic team |
author |
Deusdado, P. |
author_facet |
Deusdado, P. Guedes, M. Silva, A. Marques, F. Pinto, E. Rodrigues, P. Lourenço, A. Mendonça, R. Santana, P. Corisco, J. Almeida, S. M. Portugal, L. Caldeira, R. Barata, J. Flores, L. |
author_role |
author |
author2 |
Guedes, M. Silva, A. Marques, F. Pinto, E. Rodrigues, P. Lourenço, A. Mendonça, R. Santana, P. Corisco, J. Almeida, S. M. Portugal, L. Caldeira, R. Barata, J. Flores, L. |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Deusdado, P. Guedes, M. Silva, A. Marques, F. Pinto, E. Rodrigues, P. Lourenço, A. Mendonça, R. Santana, P. Corisco, J. Almeida, S. M. Portugal, L. Caldeira, R. Barata, J. Flores, L. |
dc.subject.por.fl_str_mv |
Multi-robot system Field robots UGV UAV Environmental monitoring Radiological monitoring Heavy Metals monitoring Estuarine mudflats |
topic |
Multi-robot system Field robots UGV UAV Environmental monitoring Radiological monitoring Heavy Metals monitoring Estuarine mudflats |
description |
This 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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01T00:00:00Z 2016 2017-04-04T16:30:59Z 2019-04-12T09:30:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/12747 |
url |
http://hdl.handle.net/10071/12747 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1424-8220 10.3390/s16091461 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134872272371712 |