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1812.07252
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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
18 December 2018
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
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Papers citing
"Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks"
50 / 215 papers shown
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Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
IEEE International Conference on Robotics and Automation (ICRA), 2020
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Edward Johns
365
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0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Conference on Robot Learning (CoRL), 2020
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
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Lerrel Pinto
145
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13 Nov 2020
Accelerating Grasp Exploration by Leveraging Learned Priors
Han Yu Li
Michael Danielczuk
Ashwin Balakrishna
V. Satish
Ken Goldberg
156
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11 Nov 2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
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Kanishka Rao
Zhuo Xu
Eric Jang
Mohi Khansari
Yunfei Bai
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LM&Ro
271
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06 Nov 2020
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
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T. Breckon
M. Bordewich
Ulrik R Beierholm
173
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05 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
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Yunhui Xie
J. Grant-Jacob
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285
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05 Nov 2020
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Michael Neunert
Markus Wulfmeier
Rae Jeong
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Noah Y. Siegel
Agrim Gupta
A. Abdolmaleki
Martin Riedmiller
F. Nori
145
1
0
29 Oct 2020
On the Transfer of Disentangled Representations in Realistic Settings
International Conference on Learning Representations (ICLR), 2020
Andrea Dittadi
Frederik Trauble
Francesco Locatello
M. Wuthrich
Vaibhav Agrawal
Ole Winther
Stefan Bauer
Bernhard Schölkopf
OOD
367
86
0
27 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel Environments
IEEE Robotics and Automation Letters (RA-L), 2020
Sheng Zhong
Zhenyuan Zhang
Nima Fazeli
Dmitry Berenson
214
8
0
23 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
458
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0
24 Sep 2020
A general approach to bridge the reality-gap
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Z. Hampel-Arias
Nina Lopatina
Felipe A. Mejia
126
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TriFinger: An Open-Source Robot for Learning Dexterity
Conference on Robot Learning (CoRL), 2020
Manuel Wüthrich
Felix Widmaier
F. Grimminger
J. Akpo
S. Joshi
...
Julian Viereck
M. Naveau
Ludovic Righetti
Bernhard Schölkopf
Stefan Bauer
182
77
0
08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
IEEE Robotics and Automation Letters (RA-L), 2020
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
134
33
0
06 Aug 2020
Self-Supervised Policy Adaptation during Deployment
International Conference on Learning Representations (ICLR), 2020
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
251
181
0
08 Jul 2020
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
Zhixin Chen
Mengxiang Lin
Zhixin Jia
Shibo Jian
78
8
0
02 Jul 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
S. Manivasagam
Shenlong Wang
K. Wong
Wenyuan Zeng
Mikita Sazanovich
Shuhan Tan
Binh Yang
Wei-Chiu Ma
R. Urtasun
3DPC
188
269
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16 Jun 2020
Domain Adaptation with Morphologic Segmentation
Jonathan Klein
Soren Pirk
D. L. Michels
149
0
0
16 Jun 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao
Chris Harris
A. Irpan
Sergey Levine
Julian Ibarz
Mohi Khansari
283
215
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16 Jun 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Neural Information Processing Systems (NeurIPS), 2020
Dmitry Sorokin
Alexander Ulanov
E. A. Sazhina
A. Lvovsky
208
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03 Jun 2020
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
Mohi Khansari
Daniel Kappler
Jianlan Luo
Jeff Bingham
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161
26
0
13 May 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
Marco Pleines
J. Jitsev
Mike Preuss
Frank Zimmer
126
2
0
01 Apr 2020
Robotic Table Tennis with Model-Free Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Wenbo Gao
L. Graesser
K. Choromanski
Xingyou Song
N. Lazić
Pannag R Sanketi
Vikas Sindhwani
Navdeep Jaitly
317
51
0
31 Mar 2020
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds
IEEE International Conference on Robotics and Automation (ICRA), 2020
Peiyuan Ni
Wenguang Zhang
Xiaoxiao Zhu
Q. Cao
3DPC
263
139
0
21 Mar 2020
Adapting Object Detectors with Conditional Domain Normalization
European Conference on Computer Vision (ECCV), 2020
Peng Su
Kun Wang
Xingyu Zeng
Weizhen He
Dapeng Chen
Di Qiu
Xiaogang Wang
380
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16 Mar 2020
Cloth in the Wind: A Case Study of Physical Measurement through Simulation
Computer Vision and Pattern Recognition (CVPR), 2020
Tom F. H. Runia
Kirill Gavrilyuk
Cees G. M. Snoek
A. Smeulders
137
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0
09 Mar 2020
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
Tae Won Kim
Yeseong Park
Youngbin Park
I. Suh
DRL
OffRL
90
11
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27 Feb 2020
Deep Reinforcement Learning with Linear Quadratic Regulator Regions
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Colin Togashi
Dennis W. Hong
Lin Yang
105
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23 Feb 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras
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Iretiayo Akinola
Jacob Varley
Dmitry Kalashnikov
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201
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21 Feb 2020
Deep Differentiable Grasp Planner for High-DOF Grippers
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Zherong Pan
Kai Xu
Kanishka Ganguly
Tianyi Zhou
252
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04 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
309
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20 Jan 2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
Frontiers in Robotics and AI (Front. Robot. AI), 2020
T. Patten
Kiru Park
Markus Vincze
247
35
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15 Jan 2020
Morphology-Agnostic Visual Robotic Control
IEEE Robotics and Automation Letters (RA-L), 2019
Brian Yang
Dinesh Jayaraman
Glen Berseth
Alexei A. Efros
Sergey Levine
103
2
0
31 Dec 2019
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
International Conference on Computational Photography (ICCP), 2019
A. Z. Zhu
ZiYun Wang
Kaung Khant
Kostas Daniilidis
GAN
197
62
0
03 Dec 2019
Simulation-based reinforcement learning for real-world autonomous driving
IEEE International Conference on Robotics and Automation (ICRA), 2019
B. Osinski
Adam Jakubowski
Piotr Milos
Pawel Ziecina
Christopher Galias
S. Homoceanu
Henryk Michalewski
244
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29 Nov 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Rupert Mitchell
Jenny Fletcher
Jacopo Panerati
Amanda Prorok
227
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0
26 Nov 2019
Attention-Privileged Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
240
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19 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
203
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Learning One-Shot Imitation from Humans without Humans
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Alessandro Bonardi
Stephen James
Andrew J. Davison
236
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RoboNet: Large-Scale Multi-Robot Learning
Conference on Robot Learning (CoRL), 2019
Sudeep Dasari
F. Ebert
Stephen Tian
Suraj Nair
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Sergey Levine
Chelsea Finn
LM&Ro
480
360
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24 Oct 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2019
Rae Jeong
Y. Aytar
D. Khosid
Yuxiang Zhou
Jackie Kay
Thomas Lampe
Konstantinos Bousmalis
F. Nori
SSL
145
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21 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization
IEEE Robotics and Automation Letters (RA-L), 2019
Wenhao Yu
Jie Tan
Yunfei Bai
Erwin Coumans
Sehoon Ha
207
106
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28 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
IEEE Robotics and Automation Letters (RA-L), 2019
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
293
753
0
26 Sep 2019
Synthetic Data for Deep Learning
Sergey I. Nikolenko
337
410
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25 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations
Conference on Robot Learning (CoRL), 2019
Matthew Wilson
Tucker Hermans
SSL
253
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17 Sep 2019
Beyond Top-Grasps Through Scene Completion
IEEE International Conference on Robotics and Automation (ICRA), 2019
Jens Lundell
Francesco Verdoja
Ville Kyrki
221
31
0
15 Sep 2019
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Sulabh Kumra
Shirin Joshi
F. Sahin
271
349
0
11 Sep 2019
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
International Symposium on Field and Service Robotics (FSR), 2019
Jialiang Zhao
Jacky Liang
Oliver Kroemer
85
12
0
04 Sep 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Conference on Robot Learning (CoRL), 2019
Ofir Nachum
Michael Ahn
Hugo Ponte
S. Gu
Vikash Kumar
260
97
0
13 Aug 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
Conference on Robot Learning (CoRL), 2019
Adam Allevato
Elaine Schaertl Short
Mitch Pryor
A. Thomaz
303
59
0
25 Jul 2019
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