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Google Research publishes RT-1 for real-world robotic control at scale

RT-1 used a transformer policy trained on roughly 130,000 demonstrations covering more than 700 language-conditioned tasks collected using 13 robots.

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RT-1 Robotics Transformer
evidenced_by · robotics_research_release

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Real-world robot learning showed a clearer scaling path through large, diverse demonstration datasets and transformer policies covering hundreds of language-conditioned tasks, without establishing general physical autonomy.
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