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dc.contributor.authorBerscheid, Lars
dc.contributor.authorMeissner, Pascal
dc.contributor.authorKröger, Torsten
dc.date.accessioned2021-06-18T23:07:58Z
dc.date.available2021-06-18T23:07:58Z
dc.date.issued2020-07-01
dc.identifier.citationBerscheid , L , Meissner , P & Kröger , T 2020 , ' Self-Supervised Learning for Precise Pick-and-Place Without Object Model ' , IEEE Robotics and Automation Letters , vol. 5 , no. 3 , pp. 4828 - 4835 . https://doi.org/10.1109/LRA.2020.3003865en
dc.identifier.issn2377-3766
dc.identifier.otherPURE: 170967624
dc.identifier.otherPURE UUID: c2ed0992-1f01-459e-84d5-d8f9522c54b3
dc.identifier.otherArXiv: http://arxiv.org/abs/2006.08373v1
dc.identifier.otherORCID: /0000-0002-7918-1566/work/84977788
dc.identifier.otherScopus: 85089472027
dc.identifier.urihttps://hdl.handle.net/2164/16701
dc.descriptionACKNOWLEDGEMENT We would like to thank Tamim Asfour for his helpful suggestions and discussions.en
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofIEEE Robotics and Automation Lettersen
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectreinforcement learningen
dc.subjectDeep learning in grasping and manipulationen
dc.subjectimitation learningen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectMechanical Engineeringen
dc.subjectControl and Optimizationen
dc.subjectArtificial Intelligenceen
dc.subjectHuman-Computer Interactionen
dc.subjectControl and Systems Engineeringen
dc.subjectComputer Vision and Pattern Recognitionen
dc.subjectBiomedical Engineeringen
dc.subjectComputer Science Applicationsen
dc.subjectSupplementary Dataen
dc.subject.lccTAen
dc.titleSelf-Supervised Learning for Precise Pick-and-Place Without Object Modelen
dc.typeJournal itemen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/LRA.2020.3003865
dc.date.embargoedUntil2021-06-19
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85089472027&partnerID=8YFLogxKen
dc.identifier.urlhttps://arxiv.org/abs/2006.08373en
dc.identifier.vol5en
dc.identifier.iss3en


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