Ep#10 with Roger Qiu on Humanoid Policy ~ Human Policy human-as-robot.github.io Co-hosted by Chris Paxton & Michael Cho - Rbt/Acc

It is cool to see that you can steer your low-level policy with foundation models. Check out new work from Yixuan Wang

**Steerability** remains one of the key issues for current vision-language-action models (VLAs). Natural language is often ambiguous and vague: "Hang a mug on a branch" vs "Hang the left mug on the right branch." Many works claim to handle language input, yet the tasks are often

Two releases in a row from our lab today 😆 One problem I was always pondering on is how to use structured representation while making it scalable. Super excited that Kaifeng's work pushes this direction forward and I cannot wait to see what's more in the future!!

Check out the cool results and demo!

How can we achieve both common sense understanding that can deal with varying levels of ambiguity in language and dextrous manipulation? Check out CodeDiffuser, a really neat work that bridges Code Gen with a 3D Diffusion Policy! This was a fun project with cool experiments! 🤖

We’ve been exploring 3D world models with the goal of finding the right recipe that is both: (1) structured—for sample efficiency and generalization (my personal emphasis), and (2) scalable—as we increase real-world data collection. With **Particle-Grid Neural Dynamics**

Just arrived at LA and excited to be at RSS! I will present CodeDiffuser at following sessions: - Presentation on June 22 (Sun.) 5:30 PM - 6:30 PM - Poster on June 22 (Sun.) 6:30 PM - 8:00 PM I will also present CuriousBot at - FM4RoboPlan Workshop on June 21 (Sat.) 9:40 - 10:10

Had a great time yesterday giving three invited talks at #RSS2025 workshops—on foundation models, structured world models, and tactile sensing for robotic manipulation. Lots of engaging conversations! One more talk coming up on Wednesday (6/25). Also excited to be presenting two

🚀 Introducing RIGVid: Robots Imitating Generated Videos! Robots can now perform complex tasks—pouring, wiping, mixing—just by imitating generated videos, purely zero-shot! No teleop. No OpenX/DROID/Ego4D. No videos of human demonstrations. Only AI generated video demos 🧵👇

TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the