Robot Embodiments
topic on 2 shows · 3 statements across 2 episodes
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3 statements about Robot Embodiments, every show
Levine: Models generalize across robot embodiments without architecture changes
“Where we could get our models to work on all sorts of other robots, including robots with multi-fingered hands robots with different numbers of degrees of freedom, and obviously we needed to get data, and we needed to fine-tune the model, but the model itself …”
Finn: Robot training data transfers across different physical hardware embodiments
“We've seen a lot of evidence that you could actually transfer a lot of rich information across these different embodiments and allows you to use data. And also if you iterate on your robot platform, you don't have to throw all your data away.”
Finn: General multi-robot models outperformed research labs' custom single-robot policies
“We actually found that we could take a checkpoint, send that model checkpoint to another lab halfway across the country, and the grad student at that lab could run the checkpoint on the robot, and it would actually More often than not do better than the model …”