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Grasping is among the most fundamental and long-lasting problems in robotics study.
Constructing force-closure grasps
V.-D. Nguyen · 1988
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Finding antipodal point grasps on irregularly shaped objects
I.-M. Chen and J. W. Burdick · 1993
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Robotic grasping and contact: A review
A. Bicchi and V. Kumar · 2000
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Graspit! a versatile simulator for robotic grasping
A. T. Miller and P. K. Allen · 2004
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A simple and efficient approach for 3d mesh approximate convex decomposition
K. Mamou and F. Ghorbel · 2009
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The moped framework: Object recognition and pose estimation for manipulation
A. Collet, M. Martinez, and S. S. Srinivasa · 2011
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Semantic grasping: Planning robotic grasps functionally suitable for an object manipulation task
H. Dang and P. K. Allen · 2012
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An overview of 3d object grasp synthesis algorithms
A. Sahbani, S. El-Khoury, and P. Bidaud · 2012
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Mujoco: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
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Data-driven grasp synthesis—a survey
J. Bohg, A. Morales, T. Asfour, and D. Kragic · 2013
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Deep learning for detecting robotic grasps
I. Lenz, H. Lee, and A. Saxena · 2015
Cited alongside, same era.
Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Deep learning a grasp function for grasping under gripper pose uncertainty
E. Johns, S. Leutenegger, and A. J. Davison · 2016
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2016
Cited alongside, same era.
Volumetric and multi-view cnns for object classification on 3d data
Grasp2vec: Learning object representations from self-supervised grasping
E. Jang, C. Devin, V. Vanhoucke, and S. Levine · 2018
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Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods
D. Quillen, E. Jang, O. Nachum, C. Finn, J. Ibarz, and S. Levine · 2018
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Learning 6-dof grasping and pick-place using attention focus
M. Gualtieri and R. Platt · 2018
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Review of deep learning methods in robotic grasp detection
S. Caldera, A. Rassau, and D. Chai · 2018
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Real-world multiobject, multigrasp detection
F.-J. Chu, R. Xu, and P. A. Vela · 2018
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C. R. Qi, H. Su, M. Nießner, A. Dai, M. Yan, and L. J. Guibas · 2016
Cited alongside, same era.
Robotic grasp detection using deep convolutional neural networks
S. Kumra and C. Kanan · 2017
Cited alongside, same era.
Grasp pose detection in point clouds
A. ten Pas, M. Gualtieri, K. Saenko, and R. Platt · 2017
Cited alongside, same era.
Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, K.-T. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez, and J. Xiao · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Cited alongside, same era.
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz, and D. Quillen · 2018
Cited alongside, same era.
Y. Zhou, C. Barnes, J. Lu, J. Yang, and H. Li · 2018
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Multi-modal geometric learning for grasping and manipulation
D. Watkins-Valls, J. Varley, and P. Allen · 2019
Closest in time.
Learning ambidextrous robot grasping policies
J. Mahler, M. Matl, V. Satish, M. Danielczuk, B. DeRose, S. McKinley, and K. Goldberg · 2019
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6-dof graspnet: Variational grasp generation for object manipulation
A. Mousavian, C. Eppner, and D. Fox · 2019
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PointNetGPD: Detecting grasp configurations from point sets
H. Liang, X. Ma, S. Li, M. Görner, S. Tang, B. Fang, F. Sun, and J. Zhang · 2019
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Extending adversarial attacks and defenses to deep 3d point cloud classifiers
D. Liu, R. Yu, and H. Su · 2019
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