Show simple item record

dc.contributor.authorFujita, M
dc.contributor.authorDomae, Y
dc.contributor.authorNoda, A
dc.contributor.authorGarcia Ricardez, GA
dc.contributor.authorNagatani, T
dc.contributor.authorZeng, A
dc.contributor.authorSong, S
dc.contributor.authorRodriguez, Alex
dc.contributor.authorCauso, A
dc.contributor.authorChen, IM
dc.contributor.authorOgasawara, T
dc.date.accessioned2022-01-14T16:03:58Z
dc.date.available2022-01-14T15:22:10Z
dc.date.available2022-01-14T16:03:58Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/139595.2
dc.description.abstract© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Bin picking is still a challenge in robotics, as patent in recent robot competitions. These competitions are an excellent platform for technology comparisons since some participants may use state-of-the-art technologies, while others may use conventional ones. Nevertheless, even though points are awarded or subtracted based on the performance in the frame of the competition rules, the final score does not directly reflect the suitability of the technology. Therefore, it is difficult to understand which technologies and their combination are optimal for various real-world problems. In this paper, we propose a set of performance metrics selected in terms of actual field use as a solution to clarify the important technologies in bin picking. Moreover, we use the selected metrics to compare our four original robot systems, which achieved the best performance in the Stow task of the Amazon Robotics Challenge 2017. Based on this comparison, we discuss which technologies are ideal for practical use in bin picking robots in the fields of factory and warehouse automation.en_US
dc.language.isoen
dc.publisherInforma UK Limiteden_US
dc.relation.isversionof10.1080/01691864.2019.1698463en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceTaylor & Francisen_US
dc.titleWhat are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metricsen_US
dc.typeArticleen_US
dc.identifier.citationFujita, M, Domae, Y, Noda, A, Garcia Ricardez, GA, Nagatani, T et al. 2019. "What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics." Advanced Robotics, 34 (7-8).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalAdvanced Roboticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-01-14T15:10:10Z
dspace.orderedauthorsFujita, M; Domae, Y; Noda, A; Garcia Ricardez, GA; Nagatani, T; Zeng, A; Song, S; Rodriguez, A; Causo, A; Chen, IM; Ogasawara, Ten_US
dspace.date.submission2022-01-14T15:10:13Z
mit.journal.volume34en_US
mit.journal.issue7-8en_US
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

VersionItemDateSummary

*Selected version