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This paper introduces Action Image, a new grasp proposal representation that allows learning an end-to-end deep-grasping policy.
On the closure properties of robotic grasping
A. Bicchi · 1995
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The cross-entropy method for combinatorial and continuous optimization
R. Rubinstein · 1999
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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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Data-driven grasping
C. Goldfeder and P. K. Allen · 2011
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Data-driven grasp synthesis—a survey
J. Bohg, A. Morales, T. Asfour, and D. Kragic · 2013
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Cloud-based robot grasping with the google object recognition engine
B. Kehoe, A. Matsukawa, S. Candido, J. Kuffner, and K. Goldberg · 2013
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Towards reliable grasping and manipulation in household environments
M. Ciocarlie, K. Hsiao, E. G. Jones, S. Chitta, R. B. Rusu, and I. A. Şucan · 2014
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Learning of grasp selection based on shape-templates
A. Herzog, P. Pastor, M. Kalakrishnan, L. Righetti, J. Bohg, T. Asfour, and S. Schaal · 2014
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Leveraging big data for grasp planning
D. Kappler, J. Bohg, and S. Schaal · 2015
Cited alongside, same era.
Deep learning for detecting robotic grasps
I. Lenz, H. Lee, and A. Saxena · 2015
Cited alongside, same era.
Generating multi-fingered robotic grasps via deep learning
J. Varley, J. Weisz, J. Weiss, and P. Allen · 2015
Cited alongside, same era.
Pybullet, a python module for physics simulation for games, robotics and machine learning
E. Coumans and Y. Bai · 2016
Cited alongside, same era.
Team delft’s robot winner of the amazon picking challenge 2016
C. Hernandez, M. Bharatheesha, W. Ko, H. Gaiser, J. Tan, K. van Deurzen, M. de Vries, B. Van Mil, J. van Egmond, R. Burger, et al · 2016
Cited alongside, same era.
Detecting object affordances with convolutional neural networks
A. Nguyen, D. Kanoulas, D. G. Caldwell, and N. G. Tsagarakis · 2016
Cited alongside, same era.
Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
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Modeling grasp motor imagery through deep conditional generative models
M. Veres, M. Moussa, and G. W. Taylor · 2017
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Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K. Bousmalis, A. Irpan, P. Wohlhart, Y. Bai, M. Kelcey, M. Kalakrishnan, L. Downs, J. Ibarz, P. Pastor, K. Konolige, et al · 2018
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Scalable deep reinforcement learning for vision-based robotic manipulation
D. Kalashnikov, A. Irpan, P. Pastor, J. Ibarz, A. Herzog, E. Jang, D. Quillen, E. Holly, M. Kalakrishnan, V. Vanhoucke, and S. Levine · 2018
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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
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L. Pinto and A. Gupta · 2016
Cited alongside, same era.
Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task
S. James, A. J. Davison, and E. Johns · 2017
Cited alongside, same era.
Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017
Cited alongside, same era.
Sim2real viewpoint invariant visual servoing by recurrent control
F. Sadeghi, A. Toshev, E. Jang, and S. Levine · 2018
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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, N. Fazeli, F. Alet, N. C. Dafle, R. Holladay, I. Morona, P. Q. Nair, D. Green, I. Taylor, W. Liu, T. Funkhouser, and A. Rodriguez · 2018
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Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
S. James, P. Wohlhart, M. Kalakrishnan, D. Kalashnikov, A. Irpan, J. Ibarz, S. Levine, R. Hadsell, and K. Bousmalis · 2019
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Learning probabilistic multi-modal actor models for vision-based robotic grasping
M. Yan, A. Li, M. Kalakrishnan, and P. Pastor · 2019
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