Han Zhang
@DoubleHan07
Followers
378
Following
657
Media
25
Statuses
117
PhD student in robotics @Stanford | Ham radio (DE BI1NWO 73) | Prev @Tsinghua_Uni
Palo Alto, CA
Joined October 2013
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: https://t.co/z3CUS5wgMx
0
2
22
Toddy enjoyed his time in Seoul — his first big trip away from home!😆 He rolled around on wheels, showed off his pull-up skills (Cr: @li_yitang), spoke in the spotlight as a 1.5-year-old, and presented at the poster session.
ToddlerBot is accepted to CoRL, and we will bring Toddy (2.0 version) to Seoul for a trip. Come and say hi to Toddy if you're around😁! Our arxiv paper is also updated with more technical details in the appendix: https://t.co/NUW4VIb4G4
3
7
79
How do we unlock the full dexterity of robot hands with data, even beyond what teleoperation can achieve? DEXOP captures natural human manipulation with full-hand tactile & proprio sensing, plus direct force feedback to users, without needing a robot👉 https://t.co/rjfQ9nzofm
31
279
1K
Collecting dexterous humanoid robot data is difficult to scale. That's why @mengdaxu__ and @DoubleHan07 built DexUMI: a tool for demonstrating how to control a dexterous robot hand, which allows you to quickly collect task data. Co-hosted by @micoolcho and @chris_j_paxton
0
9
22
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.
Collecting dexterous humanoid robot data is difficult to scale. That's why @mengdaxu__ and @DoubleHan07 built DexUMI: a tool for demonstrating how to control a dexterous robot hand, which allows you to quickly collect task data. Co-hosted by @micoolcho and @chris_j_paxton
5
26
188
Full episode dropping soon! Geeking out with @mengdaxu__ @DoubleHan07 on DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation https://t.co/6apEdDrHmh Co-hosted by @micoolcho @chris_j_paxton
1
4
39
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
9
11
273
HADES-ICM (SO-125) 🛰️FM repeater is now on! First QSO with JK2XXK @kikori1906 ! Nice QSO! #HamRadio #amsat
@AmsatSpain
1
0
4
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”!
4
9
87
@fancy_yzc @HarryXu12 📜 Paper: https://t.co/NrjsGNPXwe 🌍 Website: https://t.co/ujkQtIIiGp 📽️ Full video: https://t.co/VEgmH23Zjq We’re cleaning up the project and scripts. DOGlove will be entirely open-source soon, with full documentation. Stay tuned! 🚀
1
0
2
Huge thanks to my awesome collaborators Songbo Hu & Zhecheng Yuan (@fancy_yzc )! 🙌 And a deep gratitude to my incredible advisor Huazhe Xu (@HarryXu12 ), not only for his invaluable advice but also for kindly sharing his office for our experiments! 😆
1
0
2
Precision + Comfort 🎯✋ DOGlove is designed to closely resemble the human hand, featuring: ✔️ 21-DoF motion capture ✔️ 5-DoF haptic force feedback Check out the internal design:
1
0
2
How does haptic force feedback enhance dexterous manipulation? We tested DOGlove without any visual or auditory input, running a series of quantitative experiments and user studies to find out! 📊
1
2
4
Since DOGlove enables high-quality demonstrations, we trained imitation learning policies for various contact-rich tasks. See them in action:
1
0
2
With DOGlove, teleoperating a dexterous hand for contact-rich tasks feels natural and precise. Here’s a demo:
1
0
3
Want a haptic force feedback glove? Meet DOGlove! 🖐✨ A precise, low-cost (~$600), open-source glove for dexterous manipulation. Teleoperate a dexterous hand to squeeze condensed milk on bread 🥪 or collect high-quality data for imitation learning. Check it out! 🎥👇
5
34
183
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. https://t.co/tIrAUCbzNz
0
0
3
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. https://t.co/encmRFhxM0
0
0
1