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

20 March 2017

Pieter Abbeel

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

50 / 55 papers shown

Title
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction Hui Ma Kai Yang AI4TS 7 0 0 26 May 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 5 0 0 24 May 2025
H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies Geeta Chandra Raju Bethala Hao Huang Niraj Pudasaini Abdullah Mohamed Ali Shuaihang Yuan Congcong Wen Anthony Tzes Yi Fang 14 0 0 23 May 2025
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition Bo Yue Shuqi Guo Kaiyu Hu Chujiao Wang Benyou Wang Kui Jia Guiliang Liu LRM 41 0 0 16 May 2025
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing Benedict Hildisch Edoardo Ghignone Nicolas Baumann Cheng Hu Andrea Carron Michele Magno 39 0 0 12 May 2025
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real Prithwish Dan Kushal Kedia Angela Chao Edward Weiyi Duan Maximus Adrian Pace Wei-Chiu Ma Sanjiban Choudhury 40 0 0 11 May 2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR Sindre Benjamin Remman A. Lekkas 43 0 0 11 May 2025
Let Humanoids Hike! Integrative Skill Development on Complex Trails Kwan-Yee Lin Stella X.Yu 50 0 0 09 May 2025
Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations Chikaha Tsuji Enrique Coronado Pablo Osorio G. Venture 34 0 0 09 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 95 0 0 27 Apr 2025
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution Zen Kit Heng Zimeng Zhao Tianhao Wu Yuanfei Wang Mingdong Wu Yangang Wang Hao Dong 50 0 0 10 Apr 2025
I Can Hear You Coming: RF Sensing for Uncooperative Satellite Evasion Cameron Mehlman Gregory Falco 54 0 0 04 Apr 2025
Learning Bipedal Locomotion on Gear-Driven Humanoid Robot Using Foot-Mounted IMUs Sotaro Katayama Yuta Koda Norio Nagatsuka Masaya Kinoshita 67 0 0 01 Apr 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 76 1 0 05 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 51 1 0 02 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 323 1 0 27 Feb 2025
A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation Georgios Kamaras Subramanian Ramamoorthy 49 0 0 25 Feb 2025
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch Zhengrong Xue H. Zhang Jin Cheng Zhengmao He Yuanchen Ju Chan-Yu Lin Gu Zhang Huazhe Xu OffRL 114 10 0 20 Feb 2025
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping Jun Yamada Alexander L. Mitchell Jack Collins Ingmar Posner OffRL 97 0 0 17 Feb 2025
Learning Getting-Up Policies for Real-World Humanoid Robots Xialin He Runpei Dong Zixuan Chen Saurabh Gupta 77 6 0 17 Feb 2025
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Shivansh Patel Xinchen Yin Wenlong Huang Shubham Garg H. Nayyeri Li Fei-Fei Svetlana Lazebnik Yongqian Li 95 1 0 12 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 74 4 0 09 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 149 1 0 03 Feb 2025
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning Batıkan Bora Ormancı Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 103 0 0 28 Jan 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 61 5 0 24 Jan 2025
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation Ziyang Xie Zhizheng Liu Zhenghao Peng Wayne Wu Bolei Zhou VGen 90 4 0 12 Jan 2025
LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing Darya Parygina Timofey Mezhuev D. Kuts 44 0 0 26 Dec 2024
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum JunEn Low Maximilian Adang Javier Yu Keiko Nagami Mac Schwager 3DGS VGen 128 5 0 20 Dec 2024
What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study Jiayu Chen Chao Yu Yuqing Xie Feng Gao Yinuo Chen ... Shilong Ji Mo Mu Yi Wu H. Yang Yu Wang 117 4 0 16 Dec 2024
Visual-Based Forklift Learning System Enabling Zero-Shot Sim2Real Without Real-World Data Koshi Oishi Teruki Kato Hiroya Makino Seigo Ito OffRL 121 0 0 16 Dec 2024
Robust Contact-rich Manipulation through Implicit Motor Adaptation Teng Xue Amirreza Razmjoo Suhan Shetty Sylvain Calinon 123 1 0 16 Dec 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Bastian Wittmann Yannick Wattenberg Tamaz Amiranashvili Suprosanna Shit Bjoern Menze 111 3 0 26 Nov 2024
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 34 1 0 29 Oct 2024
SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments Jumman Hossain Emon Dey Snehalraj Chugh Masud Ahmed MS Anwar ... Adrienne Raglin Carl E. Busart T. Gregory Anuradha Ravi Nirmalya Roy 36 0 0 22 Oct 2024
FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots Clément Gaspard Marc Duclusaud G. Passault Mélodie Daniel Olivier Ly 38 4 0 11 Oct 2024
Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles Levi Cai Kevin Chang Yogesh A. Girdhar 60 1 0 30 Sep 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 76 2 0 29 Sep 2024
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity Flageat Manon Janmohamed Hannah Lim Bryan Cully Antoine 52 2 0 20 Sep 2024
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids Caio Fabio Oliveira da Silva Azita Dabiri B. de Schutter 55 4 0 17 Sep 2024
Efficient Multi-agent Navigation with Lightweight DRL Policy Xingrong Diao Jiankun Wang 56 0 0 29 Aug 2024
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret Hongyu Zhou Vasileios Tzoumas 112 4 0 04 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 53 4 0 25 Jun 2024
Generalizable Imitation Learning Through Pre-Trained Representations Wei-Di Chang F. Hogan David Meger Gregory Dudek Gregory Dudek 46 1 0 15 Nov 2023
HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System A. Chaudhary Kshitij Tiwari Aniket Bera 20 1 0 25 Sep 2023
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes Zhili Ng Haozhe Jasper Wang Zhengsheng Zhang Francis Tay Eng Hock Marcelo H. Ang 32 0 0 14 Jul 2023
Aerial Monocular 3D Object Detection Yue Hu Shaoheng Fang Weidi Xie Siheng Chen 103 30 0 08 Aug 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 40 0 0 15 Feb 2022
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 42 12 0 02 Sep 2021
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real Kanishka Rao Chris Harris A. Irpan Sergey Levine Julian Ibarz Mohi Khansari 37 187 0 16 Jun 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 61 192 0 15 Jun 2020