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Knowledge and capabilities representation for visually guided robotic bin picking

dc.contributor.authorGonçalves, Paulo
dc.contributor.authorPinto, J.R. Caldas
dc.contributor.authorTorres, Frederico
dc.date.accessioned2020-03-30T16:51:04Z
dc.date.available2020-03-30T16:51:04Z
dc.date.issued2019
dc.description.abstractThe paper presents an implementation of knowledge representation including the capabilities of the system, based on ontologies for a Visually Guided Bin Picking Task. The ontology based approach was used to define the work environment, the robot, the machine vision sys- tem, and the capabilities that are needed to be performed by the robotic system, to perform the bin-picking task. The work proposes a novel application framework that is able to locate the object to pick from the bin and place it in a cell from a kit. For that, the framework, delivers the task implementation (PDDL) files that should be executed by the robot. The method used to detect the objects is based on Chamfer Match (CM) and Oriented Chamfer Match (OCM) which take advantage of the image edge map. To complete the pose estimation problem the robot manipulator is equipped with a laser range finder that can measure the object height. The robotic system was validated experimentally with simulation. using the V-REP environment interfacing with ROS, where the knowledge representation and reasoning framework is implemented. The system showed its capability to correctly pick and place a specific object. Moreover, the ontology based approach was very useful to define the task, the actions to be performed by the robot, based on its capabilities.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGONÇALVES, P.J.S.; PINTO, J.R.C.; TORRES, F. (2019) - Knowledge and capabilities representation for visually guided robotic bin Picking. In SILVA, M. [et al.] (eds.) - Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing. Cham: Springer, ISBN 978-3-030-35989-8. Vol. 1092, p. 429-440pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-030-35990-4_35pt_PT
dc.identifier.isbn978-3-030-35989-8
dc.identifier.urihttp://hdl.handle.net/10400.11/7050
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation043- EUROAGE-4-Ept_PT
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectKnowledge representationpt_PT
dc.subjectOntologiespt_PT
dc.subjectRobot capabilitiespt_PT
dc.subjectIndustrial robotspt_PT
dc.subjectMachine visionpt_PT
dc.titleKnowledge and capabilities representation for visually guided robotic bin pickingpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEMS%2F50022%2F2019/PT
oaire.citation.endPage440pt_PT
oaire.citation.startPage429pt_PT
oaire.citation.titleRobot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computingpt_PT
oaire.citation.volume1092pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves
person.givenNamePaulo
person.identifier.ciencia-id2816-A2FA-C5A3
person.identifier.orcid0000-0002-8692-7338
person.identifier.ridE-5640-2012
person.identifier.scopus-author-id35853838000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication86a6a234-d690-4c2b-8bee-d58005eebba2
relation.isAuthorOfPublication.latestForDiscovery86a6a234-d690-4c2b-8bee-d58005eebba2
relation.isProjectOfPublicationfac75ef9-84a8-4440-9c6d-2cf8cdc6ff78
relation.isProjectOfPublication.latestForDiscoveryfac75ef9-84a8-4440-9c6d-2cf8cdc6ff78

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