New collaborative work with Karthik Narasimhan 's group: Leveraging Language for Accelerated Learning of Tool Manipulation arxiv.org/abs/2206.13074 We investigate how language descriptions of a tool (e.g., geometry, common uses) can help a robot learn how to use the tool more quickly.

We’ll also be showcasing a handful of demos on the showfloor. We brought Spotty to demo some of our exciting recent work towards general-purpose embodied AI agents. More on this research ➡️ bit.ly/3N8LeVg 5/6

Check our work at Meta AI #CVPR23 ! Spot is able to understand natural language instructions and complete the task for you!

our demo #CVPR2026!

This is our recent work building toward "reproducible" robotic research. Thanks Chris Paxton for leading such an amazing project!

“We were very interested in testing out high-level reasoning and planning. We wanted to see...if the robot could figure out the steps it needed to take to solve the problem.” - Discover why @MetaAI chose Spot for their research. bit.ly/44ILlhG

Very excited to see that Habitat 3.0 is finally out! Please also check out our paper here: ai.meta.com/static-resourc…

FAIR researchers (AI at Meta) presented SegmentAnything and our robotics work at the White House correspondents’ weekend. Llama3 + Sim2Real skills (trained with AI Habitat) = a robot assistant

It was so much fun to work on this: llama3 + sim2real skills, all are open-sourced!

It is my pleasure to work with Raktim! A concrete example of how to use human videos to learn robot policies

It was great to work with Basile Terver on this project! The JEPA world model works well on unseen robot tasks. Thanks Basile for the amazing work!