Is "scaling is all you need" the right path for robotics? Announcing our Conference on Robot Learning workshop on "Resource-Rational Robot Learning", where we will explore how to build efficient intelligent systems that learn & thrive under real-world constraints. Submission deadline: Aug 8 🧵

i got to play with the e-flesh and robotic hand at Open Sauce! these low cost open source designs made me so excited for all the new humanoid research and hobbyist projects they can be used in!!

Modern AI is confined to the digital world. At Skild AI, we are building towards AGI for the real world, unconstrained by robot type or task — a single, omni-bodied brain. Today, we are sharing our journey, starting with early milestones, with more to come in the weeks ahead.

Great to see the first glimpse of Skild AI. It’s also nice to see how the data-driven robotics work that Abhinav Gupta and I developed a decade ago is being applied today. Congratulations to the team on this release.

I had a wonderful time talking to reyk knuhtsen and Niko Ciminelli for SemiAnalysis's article on Robotics Levels of Autonomy. The frontier of robotics (level 4) is indeed force-dependent dexterity, which our team is actively pushing on. Stay tuned😉 semianalysis.com/2025/07/30/rob…

It was wonderful chatting with Ilir Aliu - eu/acc to share my journey into robotics and discuss what it will take to solve robotics’ toughest problems.

Thanks Ilir Aliu - eu/acc for a detailed thread on our lab's work! I have been so fortunate to work with spectacular students and collaborators over the past decade. Now prepping for our next big release 😉

90% success rate in unseen environments. No new data, no fine-tuning. Autonomously. Most robots need retraining to work in new places. What if they didn’t? Robot Utility Models (RUMs) learn once and work anywhere... zero-shot. A team from NYU and Hello Robot built a set of

Happy to share that I'm a Dr. now! 🎓🎉 I'm indebted to Lerrel Pinto for his 🔥 advice & mentorship, and an unforgettable five years. Next up, I'm starting a postdoc with Jitendra MALIK, spending time at Berkeley AI Research & AI at Meta. Would love to say hi if you're in the bay area!

Starting the semester with Kyunghyun Cho telling the story of NYU Courant & NYU Center for Data Science CILVR group to a full house of students. Featuring Rob Fergus & Yann LeCun.

For agents to improve over time, they can’t afford to forget what they’ve already mastered. We found that supervised fine-tuning forgets more than RL when training on a new task! Want to find out why? 👇

Deeply honored to be a part of MIT Tech Review Innovators Under 35 List this year. This recognition highlights our work on building robot intelligence that generalizes to unseen and unstructured human environments, executed with my friends & colleagues at NYU Courant & beyond.

Congratulations Mahi Shafiullah 🏠🤖 ! I'm so happy to see your foundational work in building general robots getting this recognition!

A perk of attending the Samsung AI award event was meeting Yoshua Bengio and having a fun debate on the future of humanity with super-intelligent robots. The future looks bright -- there has never been a greater need for skilled labor that humanity shouldn’t carry alone.

Training policies with UMI/RUM type data but want to go beyond the limiting egocentric views? Multi-View UMI (MV-UMI) lets you incorporate an exocentric view into your robot-free data while avoiding distribution shifts between training and deployment.