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

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2017, Pages 1386-1393

  Zeng, Andy ^a   Yu, Kuan Ting ^b   Song, Shuran ^a   Suo, Daniel ^c   Walker, Ed ^b   Rodriguez, Alberto ^d   Xiao, Jianxiong ^a  

^a PRINCETON UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c GOOGLE INC   (United States)

^d AutoX   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DEEP NEURAL NETWORKS; NEURAL NETWORKS; ROBOTICS; WAREHOUSES;

CLUTTERED ENVIRONMENTS; CONVOLUTIONAL NEURAL NETWORK; LABELED DATASET; MANUAL SEGMENTATION; POSE ESTIMATION; SELF OCCLUSION; SUPERVISED METHODS; WAREHOUSE AUTOMATION;

DEEP LEARNING;

EID: 85028025579     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2017.7989165     Document Type: Conference Paper

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