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. 1709.07857
  4. Cited By
Using Simulation and Domain Adaptation to Improve Efficiency of Deep
  Robotic Grasping

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

22 September 2017
Konstantinos Bousmalis
A. Irpan
Paul Wohlhart
Yunfei Bai
Matthew Kelcey
Mrinal Kalakrishnan
Laura Downs
Julian Ibarz
P. Pastor
K. Konolige
Sergey Levine
Vincent Vanhoucke
    OOD
ArXivPDFHTML

Papers citing "Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping"

50 / 139 papers shown
Title
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
52
13
0
23 Sep 2021
Hierarchically Integrated Models: Learning to Navigate from
  Heterogeneous Robots
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
Katie Kang
G. Kahn
Sergey Levine
37
5
0
24 Jun 2021
Deep Learning on Monocular Object Pose Detection and Tracking: A
  Comprehensive Overview
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan
Yazhi Zhu
Yulin He
Qi Sun
Hongyan Liu
Jun He
30
82
0
29 May 2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and
  Object-Specific Robotic Grasping in Clutter
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Hanbo Zhang
Deyu Yang
Han Wang
Binglei Zhao
Xuguang Lan
Jishiyu Ding
Nanning Zheng
44
40
0
29 Apr 2021
ManipulaTHOR: A Framework for Visual Object Manipulation
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani
Winson Han
Alvaro Herrasti
Eli VanderBilt
Luca Weihs
Eric Kolve
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
173
127
0
22 Apr 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of
  Robot Manipulation Policies
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
Timothy E. Lee
Jialiang Zhao
A. Sawhney
Siddharth Girdhar
Oliver Kroemer
CML
29
32
0
31 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
520
0
04 Feb 2021
Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic
  Arms
Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms
D. Chakraborty
Mukesh Sharma
Bhaskar Vijay
16
0
0
27 Jan 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via
  Adversarial Reinforcement Learning
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
Yifeng Jiang
Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
Sergey Levine
Jie Tan
GAN
24
54
0
15 Jan 2021
Emergent Hand Morphology and Control from Optimizing Robust Grasps of
  Diverse Objects
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
18
15
0
22 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
20
64
0
17 Dec 2020
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied
  Navigation Agents
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Joanne Truong
Sonia Chernova
Dhruv Batra
33
56
0
24 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
463
0
17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the
  Future
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Danfei Xu
Ajay Mandlekar
Roberto Martín-Martín
Yuke Zhu
Silvio Savarese
Li Fei-Fei
33
71
0
17 Nov 2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
Daniel Ho
Kanishka Rao
Zhuo Xu
Eric Jang
Mohi Khansari
Yunfei Bai
GAN
LM&Ro
45
97
0
06 Nov 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented
  Grasps
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
Jialiang Zhao
Daniel M. Troniak
Oliver Kroemer
24
14
0
04 Nov 2020
The State of Industrial Robotics: Emerging Technologies, Challenges, and
  Key Research Directions
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
Lindsay M. Sanneman
Christopher K. Fourie
J. Shah
30
64
0
27 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
34
55
0
15 Oct 2020
Similarity-based data mining for online domain adaptation of a sonar ATR
  system
Similarity-based data mining for online domain adaptation of a sonar ATR system
Jean de Bodinat
Thomas Guerneve
Jose Vazquez
Marija Jegorova
37
3
0
16 Sep 2020
Grasp-type Recognition Leveraging Object Affordance
Grasp-type Recognition Leveraging Object Affordance
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
28
15
0
26 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
41
1
0
29 Jul 2020
Unseen Object Instance Segmentation for Robotic Environments
Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie
Yu Xiang
Arsalan Mousavian
Dieter Fox
36
132
0
16 Jul 2020
Domain Adaptation with Morphologic Segmentation
Domain Adaptation with Morphologic Segmentation
Jonathan Klein
Soren Pirk
D. L. Michels
18
0
0
16 Jun 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
183
0
16 Jun 2020
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera
Damian Bogunowicz
A. Rybnikov
Komal Vendidandi
Fedor Chervinskii
17
7
0
29 May 2020
Action Image Representation: Learning Scalable Deep Grasping Policies
  with Zero Real World Data
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
Mohi Khansari
Daniel Kappler
Jianlan Luo
Jeff Bingham
Mrinal Kalakrishnan
24
25
0
13 May 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
54
433
0
30 Mar 2020
Scalable learning for bridging the species gap in image-based plant
  phenotyping
Scalable learning for bridging the species gap in image-based plant phenotyping
Daniel Ward
Peyman Moghadam
22
29
0
24 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward
  Shaping for Robot Manipulation with Environment Uncertainty
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
34
13
0
05 Mar 2020
Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in
  Flexible Object Manipulation
Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation
Peng Chang
T. Padır
19
40
0
06 Feb 2020
Deep Differentiable Grasp Planner for High-DOF Grippers
Deep Differentiable Grasp Planner for High-DOF Grippers
Min Liu
Zherong Pan
Kai Xu
Kanishka Ganguly
Tianyi Zhou
31
72
0
04 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
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
23
56
0
05 Nov 2019
KETO: Learning Keypoint Representations for Tool Manipulation
KETO: Learning Keypoint Representations for Tool Manipulation
Zengyi Qin
Kuan Fang
Yuke Zhu
Li Fei-Fei
Silvio Savarese
3DPC
38
107
0
26 Oct 2019
Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Zackory M. Erickson
Vamsee Gangaram
Ariel Kapusta
Chenxi Liu
Charles C. Kemp
14
109
0
10 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization
Learning Fast Adaptation with Meta Strategy Optimization
Wenhao Yu
Jie Tan
Yunfei Bai
Erwin Coumans
Sehoon Ha
28
93
0
28 Sep 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
54
532
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
28
29
0
26 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
349
0
25 Sep 2019
PAC Reinforcement Learning without Real-World Feedback
PAC Reinforcement Learning without Real-World Feedback
Yuren Zhong
A. Deshmukh
Clayton Scott
30
6
0
23 Sep 2019
Beyond Top-Grasps Through Scene Completion
Beyond Top-Grasps Through Scene Completion
Jens Lundell
Francesco Verdoja
Ville Kyrki
30
28
0
15 Sep 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real
  Generalization without Accessing Target Domain Data
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
Xiangyu Yue
Yang Zhang
Sicheng Zhao
Alberto L. Sangiovanni-Vincentelli
Kurt Keutzer
Boqing Gong
OOD
20
382
0
02 Sep 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen
  Object Instance Segmentation
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
Christopher Xie
Yu Xiang
Arsalan Mousavian
Dieter Fox
19
92
0
30 Jul 2019
Making Sense of Vision and Touch: Learning Multimodal Representations
  for Contact-Rich Tasks
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
Peter Zachares
Matthew Tan
K. Srinivasan
Silvio Savarese
Fei-Fei Li
Animesh Garg
Jeannette Bohg
SSL
23
208
0
28 Jul 2019
Object Perception and Grasping in Open-Ended Domains
Object Perception and Grasping in Open-Ended Domains
S. Kasaei
16
0
0
25 Jul 2019
Learning better generative models for dexterous, single-view grasping of
  novel objects
Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki
D. Belter
J. Wyatt
24
32
0
13 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
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
33
83
0
08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
41
356
0
06 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
35
117
0
26 Jun 2019
Previous
123
Next