GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping

Constructing force-closure grasps

Van-Duc Nguyen · 1988

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Efficient grasping from rgbd images: Learning using a new rectangle representation

Yun Jiang, Stephen Moseson, and Ashutosh Saxena · 2011

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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2012

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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014

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Deep learning for detecting robotic grasps

Ian Lenz, Honglak Lee, and Ashutosh Saxena · 2015

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Real-time grasp detection using convolutional neural networks

Joseph Redmon and Anelia Angelova · 2015

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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours

Lerrel Pinto and Abhinav Gupta · 2016

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Yale-cmu-berkeley dataset for robotic manipulation research

Berk Calli, Arjun Singh, James Bruce, Aaron Walsman, Kurt Konolige, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2017

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A hybrid deep architecture for robotic grasp detection

Di Guo, Fuchun Sun, Huaping Liu, Tao Kong, Bin Fang, and Ning Xi · 2017

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Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again

Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, and Nassir Navab · 2017

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

Original

Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg · 2017

Cited alongside, same era.

Grasp pose detection in point clouds

Andreas ten Pas, Marcus Gualtieri, Kate Saenko, and Robert Platt · 2017

Cited alongside, same era.

Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes

Original

Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2017

Cited alongside, same era.

Ensemblenet: Improving grasp detection using an ensemble of convolutional neural networks

Umar Asif, Jianbin Tang, and Stefan Harrer · 2018

Cited alongside, same era.

Graspnet: An efficient convolutional neural network for real-time grasp detection for low-powered devices

Umar Asif, Jianbin Tang, and Stefan Harrer · 2018

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection

Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018

Later among the works it cites.

Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach

Original

Douglas Morrison, Peter Corke, and Jürgen Leitner · 2018

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Learning 6-dof grasping interaction via deep geometry-aware 3d representations

Xinchen Yan, Jasmined Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, and Honglak Lee · 2018

Later among the works it cites.

Roi-based robotic grasp detection for object overlapping scenes

Original

Hanbo Zhang, Xuguang Lan, Site Bai, Xinwen Zhou, Zhiqiang Tian, and Nanning Zheng · 2018

Later among the works it cites.

Estimating 6d pose from localizing designated surface keypoints