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Diffusion Policy was one of the big breakthroughs that has enabled an explosion in real-world robot learning. However, it’s always had a weakness, which is that it works by computing a final action trajectory from random noise, which leads to high latency when predicting a final action sequence. Instead,... show more

RoboPapers

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28,604 Aufrufe • vor 1 Monat •via X (Twitter)

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$Profilbild von Joseph Sottile 🌊 | Diffraction$

Joseph Sottile 🌊 | Diffractionvor 1 Monat

This is awesome! Is there a specific type of video capture for training that you need to help push research further?

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