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Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations.
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A. Kumar, Z. Fu, D. Pathak, and J. Malik · 2021
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Minimizing energy consumption leads to the emergence of gaits in legged robots
Z. Fu, A. Kumar, J. Malik, and D. Pathak · 2021
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Reinforcement learning for robust parameterized locomotion control of bipedal robots
Z. Li, X. Cheng, X. B. Peng, P. Abbeel, S. Levine, G. Berseth, and K. Sreenath · 2021
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Blind bipedal stair traversal via sim-to-real reinforcement learning
J. Siekmann, K. Green, J. Warila, A. Fern, and J. Hurst · 2021
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The surprising effectiveness of representation learning for visual imitation
J. Pari, N. M. Shafiullah, S. P. Arunachalam, and L. Pinto · 2021
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What matters in learning from offline human demonstrations for robot manipulation
A. Mandlekar, D. Xu, J. Wong, S. Nasiriany, C. Wang, R. Kulkarni, L. Fei-Fei, S. Savarese, Y. Zhu, and R. Martín-Martín · 2021
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Amp: Adversarial motion priors for stylized physics-based character control
X. B. Peng, Z. Ma, P. Abbeel, S. Levine, and A. Kanazawa · 2021
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Rt-1: Robotics transformer for real-world control at scale
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, et al · 2022
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Robotic telekinesis: Learning a robotic hand imitator by watching humans on youtube
A. Sivakumar, K. Shaw, and D. Pathak · 2022
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Rapid locomotion via reinforcement learning
G. B. Margolis, G. Yang, K. Paigwar, T. Chen, and P. Agrawal · 2022
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Learning deep sensorimotor policies for vision-based autonomous drone racing, 2022
J. Fu, Y. Song, Y. Wu, F. Yu, and D. Scaramuzza · 2022
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Adversarial motion priors make good substitutes for complex reward functions. 2022 ieee
A. Escontrela, X. B. Peng, W. Yu, T. Zhang, A. Iscen, K. Goldberg, and P. Abbeel · 2022
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From one hand to multiple hands: Imitation learning for dexterous manipulation from single-camera teleoperation
Y. Qin, H. Su, and X. Wang · 2022
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From play to policy: Conditional behavior generation from uncurated robot data
Z. J. Cui, Y. Wang, N. M. M. Shafiullah, and L. Pinto · 2022
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S. Bahl, A. Gupta, and D. Pathak · 2022
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Synthesizing physical character-scene interactions
M. Hassan, Y. Guo, T. Wang, M. Black, S. Fidler, and X. B. Peng · 2023
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Videodex: Learning dexterity from internet videos
K. Shaw, S. Bahl, and D. Pathak · 2022
Cited alongside, same era.
Ego4d: Around the world in 3,000 hours of egocentric video
K. Grauman, A. Westbury, E. Byrne, Z. Chavis, A. Furnari, R. Girdhar, J. Hamburger, H. Jiang, M. Liu, X. Liu, et al · 2022
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Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters
X. B. Peng, Y. Guo, L. Halper, S. Levine, and S. Fidler · 2022
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Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system
Y. Qin, W. Yang, B. Huang, K. Van Wyk, H. Su, X. Wang, Y.-W. Chao, and D. Fox · 2023
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Learning fine-grained bimanual manipulation with low-cost hardware
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn · 2023
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Low-cost exoskeletons for learning whole-arm manipulation in the wild
H. Fang, H.-S. Fang, Y. Wang, J. Ren, J. Chen, R. Zhang, W. Wang, and C. Lu · 2023
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Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators
P. Wu, Y. Shentu, Z. Yi, X. Lin, and P. Abbeel · 2023
Cited alongside, same era.
Learning physically simulated tennis skills from broadcast videos
H. Zhang, Y. Yuan, V. Makoviychuk, Y. Guo, S. Fidler, X. B. Peng, and K. Fatahalian · 2023
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Open teach: A versatile teleoperation system for robotic manipulation, 2024
A. Iyer, Z. Peng, Y. Dai, I. Guzey, S. Haldar, S. Chintala, and L. Pinto · 2024
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Learning visuotactile skills with two multifingered hands
T. Lin, Y. Zhang, Q. Li, H. Qi, B. Yi, S. Levine, and J. Malik · 2024
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icub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots
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Yell at your robot: Improving on-the-fly from language corrections
L. X. Shi, Z. Hu, T. Z. Zhao, A. Sharma, K. Pertsch, J. Luo, S. Levine, and C. Finn · 2024
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Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation
Z. Fu, T. Z. Zhao, and C. Finn · 2024
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Dexcap: Scalable and portable mocap data collection system for dexterous manipulation
C. Wang, H. Shi, W. Wang, R. Zhang, L. Fei-Fei, and C. K. Liu · 2024
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Using apple vision pro to train and control robots, 2024
Y. Park and P. Agrawal · 2024
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CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
J. Wang, Y. Qin, K. Kuang, Y. Korkmaz, A. Gurumoorthy, H. Su, and X. Wang · 2024
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Omnih2o: Universal and dexterous human-to-humanoid whole-body teleoperation and learning
T. He, Z. Luo, X. He, W. Xiao, C. Zhang, W. Zhang, K. Kitani, C. Liu, and G. Shi · 2024
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Humanplus: Humanoid shadowing and imitation from humans
Z. Fu, Q. Zhao, Q. Wu, G. Wetzstein, and C. Finn · 2024
Closest in time.
Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots
C. Chi, Z. Xu, C. Pan, E. Cousineau, B. Burchfiel, S. Feng, R. Tedrake, and S. Song · 2024
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3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations
Y. Ze, G. Zhang, K. Zhang, C. Hu, M. Wang, and H. Xu · 2024
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C. Cardenas-Perez, G. Romualdi, M. Elobaid, S. Dafarra, G. L’Erario, S. Traversaro, P. Morerio, A. Del Bue, and D. Pucci · 2024
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H. Xiong, R. Mendonca, K. Shaw, and D. Pathak · 2024
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Y. Zhu, A. Lim, P. Stone, and Y. Zhu · 2024
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X. Cheng, Y. Ji, J. Chen, R. Yang, G. Yang, and X. Wang · 2024
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T. He, Z. Luo, W. Xiao, C. Zhang, K. Kitani, C. Liu, and G. Shi · 2024
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