Incredible progress with imitation learning; the learning from demos efficiency is pretty wild

End-to-end imitation for surgical robots! Careful action space design continue to play a key role in getting real-world systems to work

Yesterday, I recorded 100 trajectories to teach my robot arm to grasp LEGO block Overnight, I trained a neural network on my MacBookPro. Today, it can grasp pretty well. No need for an expensive setup to get started with robotics. You just need github.com/huggingface/le…

When I started my first project on in-hand manipulation, I thought it would be super cool but also quite challenging to make my robot hands spin pens. After almost 2.5 years of effort in this line of research, we have finally succeeded in making our robot hand "spin pens."

Excited to share a new humanoid robot platform we’ve been working on. Berkeley Humanoid is a reliable and low-cost mid-scale research platform for learning-based control. We demonstrate the robot walking on various terrains and dynamic hopping with a simple RL controller.

🤖 Introducing UniT, a tactile representation learning framework that 🧠 Simple-to-Train: Trained with data from a single simple object. 🥂 Plug-and-Play: Learns a unified representation adaptable to various tasks and objects. See thread for more details (1/4)

Silicon Valley can keep convincing themselves they are the best at “software”, “AI”, until a Chinese hardware startup pulls off the best AI-driven locomotion on a production humanoid. New hardware companies from China won’t be satisfied with manufacturing, unlike their

Amazing that you can now train ACT on a macbook, with built-in camera for observation and a <$500 robot to run the policy. A large step in democratizing robot learning. Congrats Remi Cadene Hugging Face!

When will robots help us with our household chores? TidyBot++ brings us closer to that future. Our new open-source mobile manipulator makes it more accessible and practical to do robot learning research outside the lab, in real homes!