Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
Robot warehouse automation has attracted significant interest in recent years, perhaps most visibly in the Amazon Picking Challenge (APC) [1]. A fully autonomous warehouse pick-and-place system requires robust vision that reliably recognizes and locates objects amid cluttered environments, self-occl...
| Auteurs principaux: | , , , , , , |
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| Autres auteurs: | |
| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2019
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| Accès en ligne: | http://hdl.handle.net/1721.1/121121 https://orcid.org/0000-0002-8954-2310 https://orcid.org/0000-0002-1119-4512 |
