RoboPapers
Chris Paxton, Michael ChoChris Paxton & Michael Cho geek out over robotic papers with paper authors.
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 44 | Subscribers | Read | robopapers.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Ep#043: Attention-based map encoding for learning generalized legged locomotion
Walking robots can do all kinds of exciting things like dancing, running, and martial arts — but for them to be useful, they must be able to use their legs to handle terrain, to move over obstacles not just around them. So, how can we train...
Ep#42: General Intuition
With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount ...
Ep#41: HITTER: A Humanoid Table Tennis Robot via Hierarchical Planning and Learning
How can we make a humanoid robot play table tennis? The robot must hit a moving ball and return it over and over again, requiring precise whole-body control over again. Zhi Su tells us about how he developed a hierarchical approach for plan...
Ep#40: Daxo Robotics
How can we build robotic hands with truly superhuman dexterity? Daxo Robotics is developing a unique tendon-driven soft robot hand, which aims to be tougher and more capable than a traditional humanoid hand. Each finger consists of many dif...
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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