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Egocentric human experience data presents a vast resource for scaling up end-to-end imitation learning for robotic manipulation.
Dynamic programming algorithm optimization for spoken word recognition
Hiroaki Sakoe and Seibi Chiba · 1978
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Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, et al · 2022
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Human-to-robot imitation in the wild, 2022
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Learning fine-grained bimanual manipulation with low-cost hardware
Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
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Track2act: Predicting point tracks from internet videos enables generalizable robot manipulation
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Natural language can help bridge the sim2real gap
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