Physical Intelligence

@physical_int

Physical Intelligence (Pi), bringing AI into the physical world.

San Francisco, CA

Physical Intelligence
@physical_int
Jun 18
New work with @nvidia: evaluating robot policies entirely inside a world model. The policy acts, the model imagines the consequences, and the imagined evals predict real-world results. 🧵 real vs world-model rollout side by side📷
GIF
Physical Intelligence
@physical_int
Jun 3
π0.5 driving autonomous anastomosis!
Ryan McGuire
@r_mcguire
Apr 23
Replying to @r_mcguire
alephsurgical.com/blogs/research…
Physical Intelligence
@physical_int
Apr 16
Our newest model, π0.7, has some interesting emergent capabilities: it can control a new robot to fold shirts for which we had no shirt folding data, figure out how to use an appliance with language-based coaching, and perform a wide range of dexterous tasks all in one model!
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Physical Intelligence
@physical_int
Mar 19
We developed an RL method for fine-tuning our models for precise tasks in just a few hours or even minutes. Instead of training the whole model, we add an “RL token” output to π-0.6, our latest model, which is used by a tiny actor and critic to learn quickly with RL.
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Physical Intelligence
@physical_int
Mar 3
We’ve developed a memory system for our models that provides both short-term visual memory and long-term semantic memory. Our approach allows us to train robots to perform long and complex tasks, like cleaning up a kitchen or preparing a grilled cheese sandwich from scratch 👇
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