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Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

20 June 2018
J. Matas
Stephen James
Andrew J. Davison
    AI4CE
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Papers citing "Sim-to-Real Reinforcement Learning for Deformable Object Manipulation"

50 / 204 papers shown
Title
Learning Dexterous Manipulation from Suboptimal Experts
Learning Dexterous Manipulation from Suboptimal Experts
Rae Jeong
Jost Tobias Springenberg
Jackie Kay
Daniel Zheng
Yuxiang Zhou
Alexandre Galashov
N. Heess
F. Nori
OffRL
10
36
0
16 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
C. de Souza
Rhys Newbury
Akansel Cosgun
P. Castillo
B. Vidolov
Dana Kulić
53
90
0
16 Oct 2020
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence
  Matching in 1D and 2D Deformable Objects
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects
Aditya Ganapathi
Priya Sundaresan
Brijen Thananjeyan
Ashwin Balakrishna
Daniel Seita
Ryan Hoque
Joseph E. Gonzalez
Ken Goldberg
21
4
0
09 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot
  Experience
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee
Daniel Ward
Akansel Cosgun
Vibhavari Dasagi
Peter Corke
Jurgen Leitner
SSL
25
66
0
07 Oct 2020
Encoding cloth manipulations using a graph of states and transitions
Encoding cloth manipulations using a graph of states and transitions
Júlia Borràs Sol
Guillem Alenyà
Carme Torras
14
6
0
30 Sep 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
  Survey
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
6
709
0
24 Sep 2020
Reproducible Pruning System on Dynamic Natural Plants for Field
  Agricultural Robots
Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots
S. Katyara
F. Ficuciello
D. Caldwell
Fei Chen
B. Siciliano
16
11
0
26 Aug 2020
Learning Off-Policy with Online Planning
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
29
45
0
23 Aug 2020
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep
  Reinforcement Learning
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Wenshuai Zhao
Jorge Peña Queralta
Qingqing Li
Tomi Westerlund
6
28
0
18 Aug 2020
Ubiquitous Distributed Deep Reinforcement Learning at the Edge:
  Analyzing Byzantine Agents in Discrete Action Spaces
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
Wenshuai Zhao
Jorge Peña Queralta
Qingqing Li
Tomi Westerlund
4
6
0
18 Aug 2020
The Importance and the Limitations of Sim2Real for Robotic Manipulation
  in Precision Agriculture
The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
Carlo Rizzardo
S. Katyara
Miguel Fernandes
Fei Chen
11
6
0
10 Aug 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement
  Learning on Real and Simulated Robots
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
M. Lucchi
Friedemann Zindler
Stephan Mühlbacher-Karrer
Horst Pichler
OffRL
14
29
0
06 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
21
22
0
01 Jul 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao
Chris Harris
A. Irpan
Sergey Levine
Julian Ibarz
Mohi Khansari
32
182
0
16 Jun 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold
  Real Fabrics
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
Aditya Ganapathi
Priya Sundaresan
Brijen Thananjeyan
Ashwin Balakrishna
Daniel Seita
...
Joseph E. Gonzalez
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
19
27
0
28 Mar 2020
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
61
99
0
19 Mar 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
12
188
0
11 Mar 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
39
32
0
06 Mar 2020
Human Correspondence Consensus for 3D Object Semantic Understanding
Human Correspondence Consensus for 3D Object Semantic Understanding
Yujing Lou
Yang You
Chengkun Li
Zhoujun Cheng
Liangwei Li
Lizhuang Ma
Weiming Wang
Cewu Lu
3DPC
3DH
3DV
14
2
0
29 Dec 2019
Scalable sim-to-real transfer of soft robot designs
Scalable sim-to-real transfer of soft robot designs
Sam Kriegman
A. M. Nasab
Dylan S. Shah
Hannah Steele
G. Branin
Michael Levin
Josh Bongard
Rebecca Kramer‐Bottiglio
7
64
0
23 Nov 2019
Accelerating Training in Pommerman with Imitation and Reinforcement
  Learning
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
Hardik Meisheri
Omkar Shelke
Richa Verma
H. Khadilkar
6
6
0
12 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
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
11
56
0
05 Nov 2019
Learning One-Shot Imitation from Humans without Humans
Learning One-Shot Imitation from Humans without Humans
Alessandro Bonardi
Stephen James
Andrew J. Davison
27
79
0
04 Nov 2019
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Rishabh Jangir
Guillem Alenyà
Carme Torras
AI4CE
18
101
0
31 Oct 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
17
199
0
29 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
30
525
0
26 Sep 2019
Scaling data-driven robotics with reward sketching and batch
  reinforcement learning
Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi
Sergio Gomez Colmenarejo
Alexander Novikov
Ksenia Konyushkova
Scott E. Reed
...
David Barker
Jonathan Scholz
Misha Denil
Nando de Freitas
Ziyun Wang
OffRL
18
29
0
26 Sep 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
16
126
0
25 Sep 2019
Deep Imitation Learning of Sequential Fabric Smoothing From an
  Algorithmic Supervisor
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Daniel Seita
Aditya Ganapathi
Ryan Hoque
M. Hwang
Edward Cen
...
Nawid Jamali
K. Yamane
Soshi Iba
John F. Canny
Ken Goldberg
12
117
0
23 Sep 2019
Learning to Manipulate Object Collections Using Grounded State
  Representations
Learning to Manipulate Object Collections Using Grounded State Representations
Matthew Wilson
Tucker Hermans
SSL
13
26
0
17 Sep 2019
Self-Supervised Correspondence in Visuomotor Policy Learning
Self-Supervised Correspondence in Visuomotor Policy Learning
Peter R. Florence
Lucas Manuelli
Russ Tedrake
SSL
15
161
0
16 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks
  via Visual Subgoal Generation
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair
Chelsea Finn
VGen
23
136
0
12 Sep 2019
Toward Sim-to-Real Directional Semantic Grasping
Toward Sim-to-Real Directional Semantic Grasping
Shariq Iqbal
Jonathan Tremblay
Thang To
Jia Cheng
Erik Leitch
Andy Campbell
Kirby Leung
Duncan McKay
Stan Birchfield
19
4
0
04 Sep 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
Ofir Nachum
Michael Ahn
Hugo Ponte
S. Gu
Vikash Kumar
19
89
0
13 Aug 2019
End-to-end sensor modeling for LiDAR Point Cloud
End-to-end sensor modeling for LiDAR Point Cloud
Khaled Elmadawi
Moemen Abdelrazek
Mohamed Elsobky
Hesham M. Eraqi
Mohamed Zahran
3DPC
11
5
0
17 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
29
60
0
11 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement
  Learning
Assessing Transferability from Simulation to Reality for Reinforcement Learning
Fabio Muratore
Michael Gienger
Jan Peters
19
61
0
10 Jul 2019
PyRep: Bringing V-REP to Deep Robot Learning
PyRep: Bringing V-REP to Deep Robot Learning
Stephen James
M. Freese
Andrew J. Davison
24
116
0
26 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy
  Distillation and Sim2Real Transfer
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLL
OffRL
15
44
0
11 Jun 2019
Automated shapeshifting for function recovery in damaged robots
Automated shapeshifting for function recovery in damaged robots
Sam Kriegman
S. Walker
Dylan S. Shah
Michael Levin
Rebecca Kramer‐Bottiglio
Josh Bongard
17
60
0
22 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
40
266
0
16 Apr 2019
Feedback-based Fabric Strip Folding
Feedback-based Fabric Strip Folding
Vladimir Petrik
Ville Kyrki
AI4CE
11
17
0
02 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Riley Simmons-Edler
Ben Eisner
E. Mitchell
Sebastian Seung
Daniel D. Lee
15
28
0
25 Mar 2019
Combining Coarse and Fine Physics for Manipulation using
  Parallel-in-Time Integration
Combining Coarse and Fine Physics for Manipulation using Parallel-in-Time Integration
Wisdom C. Agboh
Daniel Ruprecht
M. Dogar
AI4CE
40
16
0
20 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter
Ryan K. Orosco
Michael C. Yip
OffRL
19
79
0
05 Mar 2019
Static Stability of Robotic Fabric Strip Folding
Static Stability of Robotic Fabric Strip Folding
Vladimir Petrik
V. Smutný
Ville Kyrki
4
9
0
28 Feb 2019
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
Fereshteh Sadeghi
13
28
0
18 Feb 2019
MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network
MetaGrasp: Data Efficient Grasping by Affordance Interpreter Network
Junhao Cai
Hui Cheng
Zhanpeng Zhang
Jingcheng Su
6
40
0
18 Feb 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
26
444
0
18 Dec 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James
Michael Bloesch
Andrew J. Davison
23
134
0
08 Oct 2018
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