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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⤵️

Physical Intelligence

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536,029 views • 1 year ago •via X (Twitter)

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11 Comments

Physical Intelligence1 year ago

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.

Physical Intelligence1 year ago

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.

Physical Intelligence1 year ago

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:

Yang1 year ago

Want to learn how practical AI skills and automations for your business and work? Check out our 50+ step-by-step video tutorials 100% FREE 20+ hours of Ai and Automation goodness absolutely free 🥳

kojichuuba1 year ago

inb4 can you put the fries in the bag

Luke Igel1 year ago

Let's go @donaldjewkes

Mocib1 year ago

But can it place the lotion in the basket?

AngelBattles.eth 🦇🔊1 year ago

quite impressive

Felix1 year ago

Always super impressive

Maxx Yung1 year ago

damn

Vikram Mishra1 year ago

Good stuff!

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