Real-time action chunking with large models
84 points by pr337h4m 3 weeks ago | 9 comments- fennecbutt 3 weeks agoAlright, I'm building the robot project I was putting off. This is so fucking cool.
Excellent work!
- jauntywundrkind 3 weeks agoAnyone have good intro recommendations for VLAs?
- lachyg 3 weeks ago(I work at Pi.)
We open-sourced Pi0 (referenced in this post): https://github.com/Physical-Intelligence/openpi
- lachyg 3 weeks ago
- UltraSane 3 weeks agoI love the implications of a robot that can plug in Ethernet cables.
- b0a04gl 3 weeks agortc handling 300ms+ delay and still pulling off tasks like plugging ethernet is kinda nuts. what i'm not getting is but how's it keeping the control loop stable without retraining? some sort of latent plan caching?
- kvablack 3 weeks agoIt uses an inpainting algorithm (adapted from image generation literature) to produce future actions that are consistent with the current trajectory. It's sort of like warm-starting from a cached plan, although the plan isn't latent, it's directly in action space. Hopefully that answers your question -- there are many more details in the blog post and paper :)
- kvablack 3 weeks ago