Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

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...

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Bibliographic Details
Main Authors: Zeng, Andy, Song, Shuran, Suo, Daniel, Walker, Ed, Xiao, Jianxiong, Yu, Kuan-Ting, Rodriguez Garcia, Alberto
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Online Access:http://hdl.handle.net/1721.1/121121
https://orcid.org/0000-0002-8954-2310
https://orcid.org/0000-0002-1119-4512

Internet

http://hdl.handle.net/1721.1/121121
https://orcid.org/0000-0002-8954-2310
https://orcid.org/0000-0002-1119-4512

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