RoboPapers
Chris Paxton, Michael ChoChris Paxton & Michael Cho geek out over robotic papers with paper authors.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 78 | Subscribers | Read | robopapers.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Ep#77: DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
World models have many different uses, from evaluation to training data generation to robot planning. DreamDojo is a new foundation world model that allows for impressively general and long-horizon interaction, generating coherent videos fo...
Ep#76: OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control
We’ve seen lots of incredible videos of humanoid robots dancing, doing martial arts, running up walls — but these extreme behaviors are usually from individual, highly specialized policies. But now OmniXtreme shows us how to achieve incredi...
Ep#75: TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
Reinforcement on robots is highly limited by our ability to design good reward functions; this means that designing strong, generalizable reward functions is a key enabler to progress on real-world reinforcement learning.
Ep#74: Weave Robotics
Do you want to never fold clothes again? Weave is a robotics startup founded in early 2024, aiming to build useful home robots as a product. We talked with co-founder Kaan Doğrusöz, and learned about his journey building a home robotics sta...
Authors
The writers behind this newsletter.
Roboticist and AI researcher
I ❤️ robots, cheap hardware, steam engines, XGBoost, Liverpool FC & SG \ud83c\uddf8\ud83c\uddec | Plane crash survivor | Building @frodobots @BitRobotNetwork @robotsdotfun
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