Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We propose a framework for robust and efficient training of Dense Object Nets (DON) with a focus on multi-object robot manipulation scenarios. DON is a popular approach to obtain dense, view-invariant object descriptors, which can be used for a multitude of downstream tasks in robot manipulation, such as, pose estimation, state representation for c...
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Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
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TN_cdi_proquest_journals_2681279642
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2681279642
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2331-8422
