Publication:

Learning self-supervised task progression metrics: a case of cloth folding

Date

2023
Journal article
https://doi.org/10.1007/s10489-022-03466-8
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dc.contributor.authorVerleysen, Andreas
dc.contributor.authorBiondina, Matthijs
dc.contributor.authorWyffels, Francis
dc.contributor.imecauthorVerleysen, Andreas
dc.contributor.imecauthorBiondina, Matthijs
dc.contributor.imecauthorWyffels, Francis
dc.contributor.orcidimecVerleysen, Andreas::0000-0001-5071-5619
dc.contributor.orcidimecWyffels, Francis::0000-0002-5491-8349
dc.contributor.orcidimecBiondina, Matthijs::0000-0001-9627-090X
dc.date.accessioned2023-04-19T09:09:39Z
dc.date.available2022-05-12T02:18:48Z
dc.date.available2022-05-12T08:53:56Z
dc.date.available2023-04-19T09:09:39Z
dc.date.embargo2024-01-31
dc.date.issued2023
dc.description.wosFundingTextThis research is supported by the Research Foundation Flanders (FWO) under Grant number 1S54220N and Ghent University BOF under Grant number 01D21220. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Quadro P6000 GPU used for this research.
dc.identifier.doi10.1007/s10489-022-03466-8
dc.identifier.issn0924-669X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39799
dc.publisherSPRINGER
dc.source.beginpage1725
dc.source.endpage1743
dc.source.issue2
dc.source.journalAPPLIED INTELLIGENCE
dc.source.numberofpages19
dc.source.volume2022
dc.title

Learning self-supervised task progression metrics: a case of cloth folding

dc.typeJournal article
dspace.entity.typePublication
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