NVIDIA's GR00T 2 learns mostly from human video, then needs five robot demos to hit 95%
NVIDIA released GR00T 2 at CoRL, a world-action model pretrained on about 436,000 hours of data, 92% of it human video. On 50 tasks its target robot never practiced, it succeeds 40% of the time zero-shot and 95% after five demonstrations, which moves the costly part of robot data to the last few minutes per task.
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