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Learning keypoints from synthetic data for robotic cloth folding

dc.contributor.authorLips, Thomas
dc.contributor.authorDe Gusseme, Victor-Louis
dc.contributor.authorWyffels, Francis
dc.date.accessioned2024-02-29T15:34:03Z
dc.date.available2022-06-22T08:32:45Z
dc.date.available2024-02-29T15:34:03Z
dc.date.issued2022
dc.identifier.issn/
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39998.2
dc.titleLearning keypoints from synthetic data for robotic cloth folding
dc.typeProceedings paper
dc.contributor.imecauthorLips, Thomas
dc.contributor.imecauthorDe Gusseme, Victor-Louis
dc.contributor.imecauthorWyffels, Francis
dc.contributor.orcidimecLips, Thomas::0000-0001-9530-5349
dc.contributor.orcidimecWyffels, Francis::0000-0002-5491-8349
dc.contributor.orcidimecDe Gusseme, Victor-Louis::0000-0003-2046-573X
dc.date.embargo2022-05-13
dc.source.numberofpages4
dc.source.peerreviewyes
dc.source.conferenceICRA2022, the IEEE International Conference on Robotics and Automation
dc.source.conferencedate23-27 May 2022
dc.source.conferencelocationPhiladelphia, USA
dc.source.journal/
imec.availabilityPublished - open access


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220.500.12860/39998.2*2024-02-29T15:32:43Zvalidation by library/open access desk
120.500.12860/399982022-06-22T08:32:45Z

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