We're on our way to ON81/ON82! #hamradio #amsat

Brilliant robot system with an elegant hardware design!

Hardcore robot hardware, plus ToddlerBot is just too cute!

28 years after our OMs finished the first EME QSOs in China… We BY1QH gets a fixed EME array again! And this time… a 144/432 “2-bander”!

HADES-ICM (SO-125) 🛰️FM repeater is now on! First QSO with JK2XXK Taka aka きこり / jk2xxk ! Nice QSO! #HamRadio #amsat AmSat-EA

Our lab at Stanford usually do research in AI & robotics, but very occasionally we indulge in being functional alcoholics -- Recently we hosted a lab cocktail night, and created drinks with research-related puns like 'reviewer#2' and 'make 6 figures', sharing the full recipes

Excited to present DOGlove at #RSS2025 today! We’ve brought the glove with us, come by and try it out! 📌 Poster: All day at #54 (Associates Park) 🎤 Spotlight talk: 2:00–3:00pm (Bovard Auditorium)

Full episode dropping soon! Geeking out with Mengda Xu Han Zhang on DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation dex-umi.github.io Co-hosted by Michael Cho - Rbt/Acc Chris Paxton

Collecting dexterous humanoid robot data is difficult to scale. That's why Mengda Xu and Han Zhang built DexUMI: a tool for demonstrating how to control a dexterous robot hand, which allows you to quickly collect task data. Co-hosted by Michael Cho - Rbt/Acc and Chris Paxton

Human hands are incredibly capable manipulators, but it's hard to get high-quality robot data for learning policies. DexUMI provides a solution: a tool by which you can naturally "puppet" a dexterous hand with your own, in order to learn skills that directly transfer to a robot.