Foundation models have shown impressive results on robots via language or code -- but these may not be good fits for grounded robotics problems. Our method PIVOT poses robot control as a VQA problem and introduces *iterative* visual optimization over robot actions! 🧵

At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos: physicalintelligence.company/blog/pi0

There are great tokenizers for text and images, but existing action tokenizers don’t work well for dexterous, high-frequency control. We’re excited to release (and open-source) FAST, an efficient tokenizer for robot actions. With FAST, we can train dexterous generalist policies

I'll be speaking at Founders You Should Know in SF on Feb 5th about Physical Intelligence (π.com) -- our progress and why you should join. Plus it's a great place to meet founders of some of the best SF startups! Apply to join at foundersysk.com Founders You Should Know Jen Yip