Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/120135
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMorrison, D.en
dc.contributor.authorTow, A.en
dc.contributor.authorMcTaggart, M.en
dc.contributor.authorSmith, R.en
dc.contributor.authorKelly-Boxall, N.en
dc.contributor.authorWade-Mccue, S.en
dc.contributor.authorErskine, J.en
dc.contributor.authorGrinover, R.en
dc.contributor.authorGurman, A.en
dc.contributor.authorHunn, T.en
dc.contributor.authorLee, D.en
dc.contributor.authorMilan, A.en
dc.contributor.authorPham, T.en
dc.contributor.authorRallos, G.en
dc.contributor.authorRazjigaev, A.en
dc.contributor.authorRowntree, T.en
dc.contributor.authorVijay, K.en
dc.contributor.authorZhuang, Z.en
dc.contributor.authorLehnert, C.en
dc.contributor.authorReid, I.en
dc.contributor.authorCorke, P.en
dc.contributor.authorLeitner, J.en
dc.date.issued2018en
dc.identifier.citation2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 / vol.abs/1709.06283, pp.7757-7764en
dc.identifier.isbn9781538630815en
dc.identifier.issn1050-4729en
dc.identifier.issn2577-087Xen
dc.identifier.urihttp://hdl.handle.net/2440/120135-
dc.description.abstractThe Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. This paper presents the design of our custom-built, cost-effective, Cartesian robot system Cartman, which won first place in the competition finals by stowing 14 (out of 16) and picking all 9 items in 27 minutes, scoring a total of 272 points. We highlight our experience-centred design methodology and key aspects of our system that contributed to our competitiveness. We believe these aspects are crucial to building robust and effective robotic systems.en
dc.description.statementofresponsibilityD. Morrison, A.W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, S. Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, A. Milan, T. Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Z. Zhuang, C. Lehnert, I. Reid, P. Corke, and J. Leitneren
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE International Conference on Robotics and Automation ICRAen
dc.rights© 2018 IEEEen
dc.titleCartman: the low-cost Cartesian manipulator that won the Amazon Robotics Challengeen
dc.typeConference paperen
dc.identifier.rmid0030111959en
dc.contributor.conferenceIEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)en
dc.identifier.doi10.1109/ICRA.2018.8463191en
dc.relation.granthttp://purl.org/au-research/grants/arc/CE140100016en
dc.identifier.pubid371048-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS05en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidReid, I. [0000-0001-7790-6423]en
Appears in Collections:Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.