Today at 3-4pm, I'll be presenting our work again at the Language and Robot Learning Workshop. Come check out my poster and say hi! :)

Excited to share Stanford HAI’s article on our Vocal Sandbox work! Looking forward to pushing Vocal Sandbox out into real world settings (bakery🥐/mall👕/library📚) next!

Want a smaller VLA that performs better? We just released some core improvements to OpenVLA, like: + MiniVLA: 7x smaller model! + Action chunking using Vector Quantization + Multi-image support Blog: ai.stanford.edu/blog/minivla/ Code: github.com/Stanford-ILIAD… (1/5) More below! 👇

So excited to try this out!!

Video generation is powerful but too slow for real-world robotic tasks. How can we enable both video and action generation while ensuring real-time policy inference? Check out our work on the Unified Video Action Model (UVA) to find out! unified-video-action-model.github.io (1/7)

How can we move beyond static-arm lab setups and learn robot policies in our messy homes? We introduce HoMeR, an imitation learning agent for in-the-wild mobile manipulation. 🧵1/8

🤖📦 Want to move many items FAST with your robot? Use a tray. But at high speeds, objects may fall off 💥. Introducing our new method: it hears sliding 🎧, learns dynamic friction 🥌, and plans time-optimized motions to transport objects 🚀. fast-non-prehensile.github.io 🧵1/7

Saying hi 👋 to Exploratorium's new feathery friend. Congrats Michelle Pan and Dr. Catie Cuan!!

Worked with Sidd for years and can honestly say he was born to be a mentor. Any student would be incredibly lucky to have his guidance through a PhD. They’re in amazing hands 🥹🎓

We have developed a new tactile sensor, called e-Flesh, with a simple working principle: measure deformations in 3D printable microstructures. Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! 🧵

Such a powerful use of robotics. Love seeing this new paper take real steps toward making assistive feeding robots a reality.