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Introducing TRACE: deployment-time compute scaling for robot learning. From a few Tutor demos, frontier LLM agents rebuild a robot's task in sim and train reliable, human-speed policies. Performance becomes a function of compute. TI-0.1 is our first model trained with TRACE.

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Josh Gruenstein

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15,263 görüntüleme • 1 gün önce •via X (Twitter)

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This also shows up in the representations learned by the model. We plot the model’s representations of human and robot images. As pre-training is scaled up, the representation of humans and robots become more aligned: to a scaled-up model, human videos "look" like robot demos.
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