ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.06907
  4. Cited By
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

20 March 2017
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
ArXivPDFHTML

Papers citing "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World"

50 / 679 papers shown
Title
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed
  Environments
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments
Jun Yamada
J. Collins
Ingmar Posner
36
8
0
06 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li
Mingjiang Li
Yaxing Wang
Chuan-Xian Ren
Xiaojie Guo
32
5
0
06 Mar 2023
Improved Sample Complexity Bounds for Distributionally Robust
  Reinforcement Learning
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
Zaiyan Xu
Kishan Panaganti
D. Kalathil
OOD
OffRL
34
31
0
05 Mar 2023
CoRL: Environment Creation and Management Focused on System Integration
CoRL: Environment Creation and Management Focused on System Integration
J. D. Merrick
Benjamin K. Heiner
Cameron Long
Brian Stieber
Steve Fierro
Vardaan Gangal
Madison Blake
Joshua Blackburn
AI4CE
30
2
0
03 Mar 2023
Task-Oriented Grasp Prediction with Visual-Language Inputs
Task-Oriented Grasp Prediction with Visual-Language Inputs
Chao Tang
Dehao Huang
Lingxiao Meng
Weiyu Liu
Hong Zhang
28
34
0
28 Feb 2023
Image-based Pose Estimation and Shape Reconstruction for Robot
  Manipulators and Soft, Continuum Robots via Differentiable Rendering
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering
Jingpei Lu
Fei Liu
C. Girerd
Michael C. Yip
22
19
0
27 Feb 2023
Reinforcement Learning Based Pushing and Grasping Objects from
  Ungraspable Poses
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang
Hongzhuo Liang
Lin Cong
Jianzhi Lyu
Long Zeng
Pingfa Feng
Jian-Wei Zhang
SSL
DRL
34
9
0
26 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Alexander Norcliffe
B. Cebere
F. Imrie
Pietro Lio
M. Schaar
SyDa
46
14
0
24 Feb 2023
Self-supervised Cloth Reconstruction via Action-conditioned Cloth
  Tracking
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking
Zixuan Huang
Xingyu Lin
David Held
34
13
0
19 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
37
50
0
13 Feb 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
Allen Z. Ren
Hongkai Dai
Benjamin Burchfiel
Anirudha Majumdar
27
14
0
09 Feb 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with
  Sim2Real Policy Learning
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning
Haoran Li
Shasha Liu
Mingjun Ma
Guangzheng Hu
Yaran Chen
Dong Zhao
27
3
0
07 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
29
9
0
05 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with
  Robustness Guarantees
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney
E. C. Ozcan
I. Paschalidis
Christos G. Cassandras
OOD
OffRL
36
5
0
31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe
  Reinforcement Learning
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney
M. Benosman
OOD
OffRL
43
5
0
30 Jan 2023
Gesture Control of Micro-drone: A Lightweight-Net with Domain
  Randomization and Trajectory Generators
Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators
Isaac Osei Agyemang
Isaac Adjei-Mensah
S. B. Yussif
Linda Delali Fiasam
Bernard Cobbinah Mawuli
B. L. Agbley
Collins Sey
Joshua Berkohd
27
0
0
29 Jan 2023
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer
  Learning
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Lei Zhang
Kaixin Bai
Zhaopeng Chen
Yunlei Shi
Jianwei Zhang
15
4
0
28 Jan 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning
  for Voice-Controlled Robots
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang
Shuijing Liu
Tianchen Ji
Neeloy Chakraborty
Kaiwen Hong
Katherine Driggs-Campbell
51
3
0
23 Jan 2023
Generalization through Diversity: Improving Unsupervised Environment
  Design
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li
Pradeep Varakantham
Dexun Li
33
7
0
19 Jan 2023
Efficient data transport over multimode light-pipes with Megapixel
  images using differentiable ray tracing and Machine-learning
Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning
Joowon Lim
Jannes Gladrow
Douglas J Kelly
G. O'Shea
Govert Verkes
Ioan A. Stefanovici
Sebastian Nowozin
B. Thomsen
27
2
0
16 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial
  Application Case on Autonomous Disassembly
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu
Xuelei Bi
Julius Pfrommer
Alexander Cebulla
Simon Mangold
Jürgen Beyerer
3DPC
27
20
0
12 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time
  Multi-Robot Cooperative Exploration
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Jiayu Chen
Yunfei Li
...
Yunfei Xiang
Rui Huang
Huazhong Yang
Yi Wu
Yu Wang
35
36
0
09 Jan 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Daniel Shin
Anca Dragan
Daniel S. Brown
OffRL
19
53
0
03 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep
  Guidance
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
32
19
0
19 Dec 2022
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal
  Domains
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
Haoshu Fang
Chenxi Wang
Hongjie Fang
Minghao Gou
Jirong Liu
Hengxu Yan
Wenhai Liu
Yichen Xie
Cewu Lu
36
193
0
16 Dec 2022
CNN-based real-time 2D-3D deformable registration from a single X-ray
  projection
CNN-based real-time 2D-3D deformable registration from a single X-ray projection
Francois Lecomte
J. Dillenseger
S. Cotin
23
1
0
15 Dec 2022
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with
  Class-Aware Cross-Domain Transformers
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers
R. Gong
Qin Wang
Dengxin Dai
Luc Van Gool
ViT
32
4
0
14 Dec 2022
On Pre-Training for Visuo-Motor Control: Revisiting a
  Learning-from-Scratch Baseline
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen
Zhecheng Yuan
Yanjie Ze
Tongzhou Mu
Aravind Rajeswaran
H. Su
Huazhe Xu
Xiaolong Wang
37
65
0
12 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
30
70
0
12 Dec 2022
Phone2Proc: Bringing Robust Robots Into Our Chaotic World
Phone2Proc: Bringing Robust Robots Into Our Chaotic World
Matt Deitke
Rose Hendrix
Luca Weihs
Ali Farhadi
Kiana Ehsani
Aniruddha Kembhavi
LM&Ro
39
17
0
08 Dec 2022
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free
  Navigation with Domain Randomization
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization
Pengzhi Yang
Haowen Liu
Monika Roznere
Alberto Quattrini Li
22
9
0
08 Dec 2022
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
Kai Hsu
D. Nguyen
J. F. Fisac
25
30
0
06 Dec 2022
Active Classification of Moving Targets with Learned Control Policies
Active Classification of Moving Targets with Learned Control Policies
Álvaro Serra-Gómez
Eduardo Montijano
Wendelin Bohmer
Javier Alonso-Mora
51
4
0
06 Dec 2022
Learning Representations that Enable Generalization in Assistive Tasks
Learning Representations that Enable Generalization in Assistive Tasks
Jerry Zhi-Yang He
Aditi Raghunathan
Daniel S. Brown
Zackory M. Erickson
Anca Dragan
OOD
39
20
0
05 Dec 2022
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from
  Demonstrations for Insertion Tasks
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
Zheng Wu
Wenzhao Lian
Changhao Wang
Mengxi Li
S. Schaal
Masayoshi Tomizuka
8
10
0
02 Dec 2022
Navigating to Objects in the Real World
Navigating to Objects in the Real World
Théophile Gervet
Soumith Chintala
Dhruv Batra
Jitendra Malik
Devendra Singh Chaplot
41
122
0
02 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task
  Environments
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
Christian Bitter
Timo Thun
Tobias Meisen
36
1
0
01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
46
18
0
30 Nov 2022
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic
  Synthetic Data Generation for the Manufacturing Industry
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen
Bram Vanherle
Joris de Hoog
T. Bourgana
A. Bey-Temsamani
Nick Michiels
19
14
0
25 Nov 2022
Powderworld: A Platform for Understanding Generalization via Rich Task
  Distributions
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans
Phillip Isola
OffRL
47
9
0
23 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz
James Harrison
C. Freeman
Amil Merchant
Lucas Beyer
...
Naman Agrawal
Ben Poole
Igor Mordatch
Adam Roberts
Jascha Narain Sohl-Dickstein
40
60
0
17 Nov 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala
Gabriel Dulac-Arnold
Julien Mairal
Jean Ponce
Cordelia Schmid
OffRL
39
27
0
16 Nov 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal
Ashish Kumar
Jitendra Malik
Deepak Pathak
34
207
0
14 Nov 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
42
4
0
10 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
43
21
0
09 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness
  to Model Misspecification
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
27
8
0
07 Nov 2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Wen-Min Zhou
David Held
OffRL
13
59
0
02 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous
  Control using Disturbance Injection
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine R. Glossop
Jacopo Panerati
A. Krishnan
Zhaocong Yuan
Angela P. Schoellig
27
6
0
27 Oct 2022
Environment Design for Inverse Reinforcement Learning
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening
Victor Villin
Christos Dimitrakakis
34
1
0
26 Oct 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving
  Without Real Data
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
John So
Amber Xie
Sunggoo Jung
J. Edlund
Rohan Thakker
Ali Agha-mohammadi
Pieter Abbeel
Stephen James
31
9
0
25 Oct 2022
Previous
12345...121314
Next