GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Metrics for 3d rotations: Comparison and analysis

D. Q. Huynh · 2009

Earlier work this paper cites.

Deep learning for detecting robotic grasps

I. Lenz, H. Lee, and A. Saxena · 2015

Earlier work this paper cites.

Real-time grasp detection using convolutional neural networks

J. Redmon and A. Angelova · 2015

Earlier work this paper cites.

The ycb object and model set: Towards common benchmarks for manipulation research

B. Calli, A. Singh, A. Walsman, S. Srinivasa, P. Abbeel, and A. M. Dollar · 2015

Earlier work this paper cites.

Faster r-cnn: Towards real-time object detection with region proposal networks

S. Ren, K. He, R. Girshick, and J. Sun · 2015

Earlier work this paper cites.

You only look once: Unified, real-time object detection

J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016

Earlier work this paper cites.

Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics

Original

J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017

Earlier work this paper cites.

Grasp pose detection in point clouds

A. ten Pas, M. Gualtieri, K. Saenko, and R. Platt · 2017

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Pointnet: Deep learning on point sets for 3d classification and segmentation

C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017

Cited alongside, same era.

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Focal loss for dense object detection

T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017

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Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching

A. Zeng, S. Song, K.-T. Yu, E. Donlon, F. R. Hogan, M. Bauza, D. Ma, O. Taylor, M. Liu, E. Romo, et al · 2018

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A. Mousavian, C. Eppner, and D. Fox · 2019

Later among the works it cites.

Dynamic graph cnn for learning on point clouds

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Later among the works it cites.

Deep closest point: Learning representations for point cloud registration

Y. Wang and J. M. Solomon · 2019

Later among the works it cites.

Pybullet, a python module for physics simulation for games, robotics and machine learning

E. Coumans and Y. Bai · 2019

Later among the works it cites.

S4g: Amodal single-view single-shot se (3) grasp detection in cluttered scenes

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Pointnet++ grasping: Learning an end-to-end spatial grasp generation algorithm from sparse point clouds