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Capturing and labeling camera images in the real world is an expensive task, whereas synthesizing labeled images in a simulation environment is easy for collecting large-scale image data.
“Efficient multi-view object recognition and full pose estimation,”
A. Collet and S. S. Srinivasa, · 2010
Earlier work this paper cites.
“What you saw is not what you get: Domain adaptation using asymmetric kernel transforms,”
B. Kulis, K. Saenko, and Trevor Darrell, · 2011
Earlier work this paper cites.
“A textured object recognition pipeline for color and depth image data,”
J. Tang, S. Miller, A. Singh, and P. Abbeel, · 2012
Earlier work this paper cites.
“Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots,”
J. Leitner, S. Harding, M. Frank, A. Forster, and J. Schmidhuber, · 2013
Earlier work this paper cites.
“Auto-encoding variational bayes,”
D.P. Kingma and M. Welling, · 2014
Earlier work this paper cites.
“Generative adversarial nets,”
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. OzairA. Courville, and Y. Bengio, · 2014
Earlier work this paper cites.
“Learning deep object detectors from 3d models,”
X. Peng, B. Sun, K. Ali, and Kate Saenko, · 2015
Earlier work this paper cites.
“Learning a driving simulator,”
E. Santana and G. Hotz, · 2016
Cited alongside, same era.
“Sim-to-real roboto learning from pixels with progressive nets,”
A. A. Rusu, M. Vecerik, T. Rothorl, N. Heess, R. Pascanu, and R. Hadsell, · 2016
Cited alongside, same era.
“Learning from simulated and unsupervised images through adversarial training,”
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb, · 2017
Cited alongside, same era.
“Cad2rl: Real single-image flight without a single real image,”
F. Sadeghi and S. Levine, · 2017
Cited alongside, same era.
“Domain randomization for transferring deep nerual networks from simulation to the real world,”
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel, · 2017
Cited alongside, same era.
F. Zhang, J. Leitner, M. Milford, and P. Corke, · 2017
Later among the works it cites.
“Darla: Improving zero-shot transfer in reinforcement learning,”
I. Higgins, A. Pal, A. A. Rusu, L. Matthey, C. P. Burgess, A. Pritzel, M. Botvinick, C. Blundell, and A. Lerchne, · 2017
Later among the works it cites.
“Learning invariant feature spaces to transfer skills with reinforcement learning,”
A. Gupta, C. Devin, Y. Liu, P. Abbeel, and S. Levine, · 2017
Later among the works it cites.
“Transferring end-to-end visiomotor control from simulation to real world for a multi-stage task,”
S. James, A. J. Davison, and E. Johns, · 2017
Later among the works it cites.
“Sim-to-real transfer of robotic control with dynamics randomization,”
X. B. Peng, M. Andrychowicz, W. Zaremba, and P. Abbeel, · 2017
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M. Yan, I. Frosio, S. Tyree, and J. Kautz, · 2017
Cited alongside, same era.
“Gazebo simulator,” http://gazebosim.org
Open Source Robotics Foundation,
Cited in the paper.
“Kinect for xbox one,” http://www.xbox.com/en-US/xbox-one/accessories/kinect
Microsoft,
Cited in the paper.
Later among the works it cites.
“Visual servoing from deep neural networks,”
Q. Bateux, E. Marchand J. Leitner, F. Chaumette, and P. Corke, · 2017
Later among the works it cites.