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dc.contributor.authorMunguía Alcalá, Rodrigo Francisco
dc.contributor.authorGuerra Paradas, Edmundo
dc.contributor.authorUrzua, Sarquis
dc.contributor.authorBolea Monte, Yolanda
dc.contributor.authorGrau Saldes, Antoni
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-11-10T12:33:43Z
dc.date.available2017-11-10T12:33:43Z
dc.date.issued2017-09-06
dc.identifier.citationMunguia, R.F., Guerra, E., Urzua, S., Bolea, Y., Grau, A. Design and development of aerial robotic systems for sampling operations in industrial environment. A: "Aerial robots: aerodynamics, control and applications". Rijeka: InTech, 2017, p. 123-143.
dc.identifier.isbn978-953-51-3464-0
dc.identifier.urihttp://hdl.handle.net/2117/110256
dc.description.abstractThis chapter describes the development of an autonomous fluid sampling system for outdoor facilities, and the localization solution to be used. The automated sampling system will be based on collaborative robotics, with a team of a UAV and a UGV platform travelling through a plant to collect water samples. The architecture of the system is described, as well as the hardware present in the UAV and the different software frameworks used. A visual simultaneous localization and mapping (SLAM) technique is proposed to deal with the localization problem, based on authors’ previous works, including several innovations: a new method to initialize the scale using unreliable global positioning system (GPS) measurements, integration of attitude and heading reference system (AHRS) measurements into the recursive state estimation, and a new technique to track features during the delayed feature initialization process. These procedures greatly enhance the robustness and usability of the SLAM technique as they remove the requirement of assisted scale initialization, and they reduce the computational effort to initialize features. To conclude, results from experiments performed with simulated data and real data captured with a prototype UAV are presented and discussed.
dc.format.extent21 p.
dc.language.isoeng
dc.publisherInTech
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.otherUAV
dc.subject.othercollaborative robotics
dc.subject.otherinertio-visual odometry
dc.subject.othervisual SLAM
dc.subject.otherGPS
dc.titleDesign and development of aerial robotic systems for sampling operations in industrial environment
dc.typePart of book or chapter of book
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.identifier.doi10.5772/intechopen.70005
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation::Robots
dc.relation.publisherversionhttps://www.intechopen.com/books/aerial-robots-aerodynamics-control-and-applications/design-and-development-of-aerial-robotic-systems-for-sampling-operations-in-industrial-environment
dc.rights.accessOpen Access
drac.iddocument21545380
dc.description.versionPostprint (published version)
upcommons.citation.authorMunguia, R.F., Guerra, E., Urzua, S., Bolea, Y., Grau, A.
upcommons.citation.pubplaceRijeka
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAerial robots: aerodynamics, control and applications
upcommons.citation.startingPage123
upcommons.citation.endingPage143


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain