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We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️

535,698 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Physical Intelligence
Physical Intelligencevor 1 Jahr

π-0.5 performs hierarchical inference, inferring high-level semantic subtasks ("pick up the plate") followed by actions. It uses a co-training recipe with data from other robots, high-level commands, verbal instructions, and multimodal data from the web.

Profilbild von Physical Intelligence
Physical Intelligencevor 1 Jahr

97.6% of the π-0.5 data does not come from the mobile robots we use in our experiments. Most comes from other robots: cross-embodiment data in the lab, non-mobile (static) robots in the wild. It also includes web data. Each piece of data is important for good results.

Profilbild von Physical Intelligence
Physical Intelligencevor 1 Jahr

To learn more about π-0.5 (pronounced “pi oh five”), check out our blog post here: A research paper about π-0.5 describing the model, training, and experiments is here:

Profilbild von Yang
Yangvor 1 Jahr

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Profilbild von kojichuuba
kojichuubavor 1 Jahr

inb4 can you put the fries in the bag

Profilbild von Luke Igel
Luke Igelvor 1 Jahr

Let's go @donaldjewkes

Profilbild von Mocib
Mocibvor 1 Jahr

But can it place the lotion in the basket?

Profilbild von AngelBattles.eth 🦇🔊
AngelBattles.eth 🦇🔊vor 1 Jahr

quite impressive

Profilbild von Felix
Felixvor 1 Jahr

Always super impressive

Profilbild von Maxx Yung
Maxx Yungvor 1 Jahr

damn

Profilbild von Vikram Mishra
Vikram Mishravor 1 Jahr

Good stuff!

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