How can we help *any* image-input policy generalize better? 👉 Meet PEEK 🤖 — a framework that uses VLMs to decide *where* to look and *what* to do, so downstream policies — from ACT, 3D-DA, or even π₀ — generalize more effectively! 🧵
🚀 Introducing N2M! In mobile manipulation, the performance of a manipulation policy is very sensitive to the robot’s initial pose. N2M guides the robot to a suitable pose for executing the manipulation policy. N2M comes with 5 key features - Check them out in the posts below!
I'm super excited to announce mjlab today! mjlab = Isaac Lab's APIs + best-in-class MuJoCo physics + massively parallel GPU acceleration Built directly on MuJoCo Warp with the abstractions you love.
Come see what robot learning can do for surgical automation! We’re excited to host the first Workshop on Automating Robotic Surgery with an amazing lineup of speakers. 🗓️ Sept. 27 09:30AM - 12:30PM 📍 Floor 3F, Room E7 🌐 …ng-robotic-surgery-workshop.github.io #CoRL2025 #CoRL @corl_conf
Check out our #IROS2025 work on robot safety! We show low-latency teleop up to the limits of the hardware's capabilities, all while enforcing hundreds of CBF constraints at kilohertz control rates. 📄 arxiv.org/pdf/2503.06736 🌐 stanfordasl.github.io/oscbf/ With @danielpmorton
Introducing Aria Gen 2, next generation glasses that we hope will enable researchers from industry and academia to unlock new work in machine perception, contextual AI, robotics and more. Aria Gen 2 details + sign up for availability updates ➡️ go.fb.me/8rku3b
Here is my talk at @MIT (after some delay😅) I made this talk last year when I was thinking about a paradigm shift. This delayed posting is timely as we just released o1, which I believe is a new paradigm. It's a good time to zoom out for high level thinking. (1/11)
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