Han Zhang
@DoubleHan07
Incoming PhD student @Stanford | Ham radio (DE BI1NWO 73) | Prev @Tsinghua_Uni
Collecting manipulation data with DexUMI. Let’s scale up together! 📈 Big shoutout to my amazing project co-lead Mengda @mengdaxu__ , who brought full stack experience, strong system design skills, and unique insight to make this possible! 🙌
Can we collect robot dexterous hand data directly with human hand? Introducing DexUMI: 0 teleoperation and 0 re-targeting dexterous hand data collection system → autonomously complete precise, long-horizon and contact-rich tasks Project Page: dex-umi.github.io
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)
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…
HADES-ICM (SO-125) 🛰️FM repeater is now on! First QSO with JK2XXK @kikori1906 ! Nice QSO! #HamRadio #amsat @AmsatSpain
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”!
Hardcore robot hardware, plus ToddlerBot is just too cute!
Time to democratize humanoid robots! Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research. Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session. toddlerbot.github.io
Brilliant robot system with an elegant hardware design!
Can robots leverage their entire body to sense and interact with their environment, rather than just relying on a centralized camera and end-effector? Introducing RoboPanoptes, a robot system that achieves whole-body dexterity through whole-body vision. robopanoptes.github.io
We're on our way to ON81/ON82! #hamradio #amsat
(2/2)...📡 Bands & Modes: HF: 80m, 40m, 20m, 15m, 10m (FT8, CW, SSB, etc.) FM Satellites: ISS, SO-50, ASRTU-1 (FM) Linear Satellites: TBD (CW, FT4, etc.) 🎉 Special paper QSL cards will be available!
ZHOU GUANYU WITH A MONSTER DRIVE TO FINISH P8! DRIVER OF THE DAY!
ARISS SSTV Series 22, Expedition 72 Receiving during a visible pass at UTC 09:47 on 11/17/2024. @ARISS_Intl @issfanclub #ARISS #ISS #SSTV
youtube.com/watch?v=P5T0rl… I’d recommend you to watch the full process of real-world RL! It is very intuitive to understand why the most sample-efficient RL algorithm is, sadly, still not efficient enough lol.
🚀 Introducing MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning! 🌟 We propose a strong model-free visual RL algorithm that can learn robust visuomotor policies from scratch – in the real world! 💪🤖 🌐 Check out the project…