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Efficient acquisition of real-world embodied data has been increasingly critical.
A simple and systematic approach to assigning denavit–hartenberg parameters
Peter I Corke · 2007
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2017
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20 years of reality gap: a few thoughts about simulators in evolutionary robotics
Jean-Baptiste Mouret and Konstantinos Chatzilygeroudis · 2017
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Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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Ros reality: A virtual reality framework using consumer-grade hardware for ros-enabled robots
David Whitney, Eric Rosen, Daniel Ullman, Elizabeth Phillips, and Stefanie Tellex · 2018
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Learning dexterous in-hand manipulation
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Reinforcement learning with perturbed rewards
Jingkang Wang, Yang Liu, and Bo Li · 2020
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Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
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Sim-to-real transfer in deep reinforcement learning for robotics: a survey
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Pybullet, a python module for physics simulation for games, robotics and machine learning
Erwin Coumans and Yunfei Bai · 2021
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Policy transfer via kinematic domain randomization and adaptation
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, and C Karen Liu · 2021
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Isaac gym: High performance GPU based physics simulation for robot learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, and Gavriel State · 2021
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Konstantinos Dimitropoulos, Ioannis Hatzilygeroudis, and Konstantinos Chatzilygeroudis · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, and Nicolas Heess · 2023
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Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
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Cheng Chi, Zhenjia Xu, Siyuan Feng, Eric Cousineau, Yilun Du, Benjamin Burchfiel, Russ Tedrake, and Shuran Song · 2024
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Mobile ALOHA: Learning bimanual mobile manipulation using low-cost whole-body teleoperation
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Wonder3d: Single image to 3d using cross-domain diffusion
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Orbit: A unified simulation framework for interactive robot learning environments
Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, and Animesh Garg · 2023
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Manigaussian: Dynamic gaussian splatting for multi-task robotic manipulation
Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, and Yansong Tang · 2025
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Reconstruction and simulation of elastic objects with spring-mass 3d gaussians
Licheng Zhong, Hong-Xing Yu, Jiajun Wu, and Yunzhu Li · 2025
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