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DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
v1v2 (latest)

DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration

IEEE Robotics and Automation Letters (RA-L), 2021
22 February 2021
Ya-Yen Tsai
Hui Xu
Zihan Ding
Chong Zhang
Edward Johns
Bidan Huang
ArXiv (abs)PDFHTML

Papers citing "DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration"

17 / 17 papers shown
Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots
Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots
Filip Bjelonic
Fabian Tischhauser
Marco Hutter
156
3
0
08 Sep 2025
Whole-Body Bilateral Teleoperation with Multi-Stage Object Parameter Estimation for Wheeled Humanoid Locomanipulation
Whole-Body Bilateral Teleoperation with Multi-Stage Object Parameter Estimation for Wheeled Humanoid Locomanipulation
D. Baek
Amartya Purushottam
Jason J. Choi
Joao Ramos
109
1
0
13 Aug 2025
Provable Sim-to-Real Transfer via Offline Domain Randomization
Provable Sim-to-Real Transfer via Offline Domain Randomization
Arnaud Fickinger
Abderrahim Bendahi
Stuart J. Russell
OffRL
257
0
0
11 Jun 2025
Towards provable probabilistic safety for scalable embodied AI systems
Towards provable probabilistic safety for scalable embodied AI systems
Linxuan He
Qing-Shan Jia
Ang Li
Hongyan Sang
Ling Wang
...
Yisen Wang
Peng Wei
Zhongyuan Wang
Henry X. Liu
Shuo Feng
270
0
0
05 Jun 2025
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Youwei Yu
Lantao Liu
255
1
0
11 Apr 2025
Domain Randomization via Entropy Maximization
Domain Randomization via Entropy MaximizationInternational Conference on Learning Representations (ICLR), 2023
Gabriele Tiboni
Pascal Klink
Jan Peters
Tatiana Tommasi
Carlo DÉramo
Georgia Chalvatzaki
285
20
0
03 Nov 2023
Pay Attention to How You Drive: Safe and Adaptive Model-Based
  Reinforcement Learning for Off-Road Driving
Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road DrivingIEEE International Conference on Robotics and Automation (ICRA), 2023
Sean J. Wang
Honghao Zhu
Aaron M. Johnson
169
8
0
12 Oct 2023
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Robust Visual Sim-to-Real Transfer for Robotic ManipulationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ricardo Garcia Pinel
Robin Strudel
Shizhe Chen
Etienne Arlaud
Ivan Laptev
Cordelia Schmid
OffRL
257
9
0
28 Jul 2023
Dexterous In-Hand Manipulation of Slender Cylindrical Objects through
  Deep Reinforcement Learning with Tactile Sensing
Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile Sensing
Wenbin Hu
Bidan Huang
Wang Wei Lee
Sibei Yang
Yu Zheng
Zhibin Li
159
22
0
11 Apr 2023
Domain Randomization for Robust, Affordable and Effective Closed-loop
  Control of Soft Robots
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Gabriele Tiboni
Andrea Protopapa
Tatiana Tommasi
Giuseppe Averta
220
6
0
07 Mar 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
262
4
0
07 Feb 2023
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D RepresentationsIEEE Robotics and Automation Letters (RA-L), 2022
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
322
70
0
13 Oct 2022
Online vs. Offline Adaptive Domain Randomization Benchmark
Online vs. Offline Adaptive Domain Randomization BenchmarkInternational Workshop on Human Friendly Robotics (HFR), 2022
Gabriele Tiboni
Karol Arndt
Giuseppe Averta
Ville Kyrki
Tatiana Tommasi
OffRL
151
6
0
29 Jun 2022
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Gabriele Tiboni
Karol Arndt
Ville Kyrki
185
36
0
20 Jan 2022
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single
  Demonstration
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single DemonstrationIEEE International Conference on Robotics and Automation (ICRA), 2021
Edward Johns
SSL
398
152
0
13 May 2021
Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory
Sim-to-Real Transfer for Robotic Manipulation with Tactile SensoryIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Zihan Ding
Ya-Yen Tsai
Wang Wei Lee
Bidan Huang
197
39
0
28 Feb 2021
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Benchmarking Domain Randomisation for Visual Sim-to-Real TransferIEEE International Conference on Robotics and Automation (ICRA), 2020
Raghad Alghonaim
Edward Johns
374
25
0
13 Nov 2020
1