Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey

dc.contributor.author Cordeiro,A en
dc.contributor.author Luís Freitas Rocha en
dc.contributor.author Carlos Miguel Costa en
dc.contributor.author Pedro Gomes Costa en
dc.contributor.author Manuel Santos Silva en
dc.contributor.other 5159 en
dc.contributor.other 5364 en
dc.contributor.other 5655 en
dc.contributor.other 6164 en
dc.date.accessioned 2023-05-08T08:11:05Z
dc.date.available 2023-05-08T08:11:05Z
dc.date.issued 2022 en
dc.description.abstract en
dc.identifier P-00W-SHC en
dc.identifier.uri http://dx.doi.org/10.1109/icarsc55462.2022.9784795 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/13913
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey en
dc.type en
dc.type Publication en
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