LeRobot
@LeRobotHF
~ Lowering the barrier to entry for robotics ~
Crafted with care by @HuggingFace 🤗
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Egocentric data is more usable when it’s enriched - and available in formats the community can train on.
GroundedAPI from @GroundedSI turns raw RoboCap video + IMU into millimeter-fidelity 3D motion data, exportable in LeRobot format (Parquet + MP4) and Hub-ready.
Excited to see more large-scale, real-world ego datasets land on the Hub with this release📷
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Inspired by MicroDuck? You don’t need a MicroDuck to start building #PhysicalAI#.
From @huggingface to SO-ARM101, reBot Arm and LeKiwi, open-source robots are making it easier to explore:
Data → Learning → Simulation → Policy → Edge AI → Real-world Action
Try different paths:
• MicroDuck + #Jetson# + #MuJoCo# + #PPO# → #ReinforcementLearning#
• SO-ARM101 + Hugging Face @LeRobotHF → imitation learning
• reBot Arm → perception + manipulation
• LeKiwi → mobile manipulation
• @NVIDIARobotics Isaac → #Sim2Real#
Start with one robot. Build one workflow. Then go further.
Read full article:👉
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Lance is now natively supported in 🤗 @huggingface LeRobot.
Ingest through train directly from S3, GCS, or HF Storage Buckets with the same LeRobotDataset API and true global shuffle. No need to download the full robotics dataset first.
Big thanks to @Caro_Nahkriin and @lhoestq for working with us to get this merged!
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Cool robot and tricks! Now try adding even more magic with @LeRobotHF
magician robot
now that's a great ACT 🎩 (ba dum tss)
side proj of Sean Tsai of Foxconn
built the 🤗 @huggingface @LeRobotHF SO-101 arm on a mobile vehicle, running pi0.5 VLA policy. with 1 picking-and-dropping task success rate is 96%🎉, but it doesn’t seem to listen to me yet.
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Thanks for mentioning LeRobot SO-ARM101 in @tbpn!
It's a really cool project by @cdngdev that uses Astra model from @OpenAI for painting.
OpenAI's @cdngdev predicts robotics will have its own version of the 3D printing craze, with people buying cheap, open-source robot arms and connecting them to agents.
"I can see a world quite soon where, similar to when everyone went and bought 3D printers and ran software, everyone's going to buy plastic, cheaper robot arms that you can clip onto a table, put stuff in front of, and plug them into agents."
"The price of classic robotics equipment is thousands of dollars at the moment. This arm I'm using here is a Hugging Face SO-100 robot, which is open source, fully 3D printable, and around $200."
"People can just pull up Codex and start controlling robots with it right now."
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This is so cool!
One of our community members built a Space on @huggingface with step by step build instructions for SO-ARM101. It includes nice 3D visualizations of each step with detailed description. Here is a link to the space:
Join our Discord and share what you built:
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Two SO-ARMs converted into a biped!
Happy to send you a LeRobot arm 🤖
i want one!
Astra from @OpenAI took control of the SO-ARM101 and started painting. Very impressive results!
SO-ARM is a 3D printed robot arm you can build yourself for around $150. Connected with LeRobot library it lets you collect data and train models at home.
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i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!
it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick
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Are you a software engineer who wants to get into robotics? LeRobot is the way to do it! 🤖
I’m having a ton of fun learning physical AI. It amazes me how accessible advanced robot learning is now with tools like @huggingface @LeRobotHF and @nvidiaomniverse GR00T. A regular software engineer like me can just hack on the weekends teaching an open-source robot arm how to make my favorite snack. Today’s milestone: autonomously picking up a slice of Spam and placing it on a bed of rice. 🍙
Read my latest post and watch the full video here:
#lerobot# #so101# #gr00t# #soarm101# #isaacgr00t# #vla# #robotlearning# #nvidiaomniverse# #physicalai#
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@nvidia and @huggingface are joining forces!
At LeRobot, we believe the future of physical AI must be collaborative, open, and accessible to everyone. This partnership brings incredible momentum to the open robotics community while keeping our commitment to flexible, multi-platform development stronger than ever.
Can't wait to see what you all build as we push the boundaries of embodied AI together. 🤗💚
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Exciting day for NVIDIA and @huggingface.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.
Thank you @ClementDelangue for coming to me.
NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗
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$28 3D printed teleoperator device. And of course it's open source!
The design features clean cable routing, same resting position as the SO-ARM101 and optional rubber bands that improve teleoperation experience (great idea).
Used with MuJoCo simulator in the video below but can also be used with the follower arm.
Awesome contribution from our community member!
Check out the project here:
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We took part in the research preview of MHS from @AnthropicAI
Here is Claude Code running a real SO-ARM101. Nothing in this was trained - no policy, no teleoperation, no demonstrations. The agent measured the workspace itself and wrote the motion.
The calibration is the interesting part. No checkerboard, no camera intrinsics: the arm is its own ruler. Torque drops, a human rests the closed gripper on 16 dots the software draws in the camera view, and the robot reads back where they are. 4.1 mm position accuracy, 3.0 mm placement.
Best run so far: 12 bricks placed with all four colour groups formed. A full hands-off run, start to finish, is what's next.
Research preview today, open source coming soon.
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A thread of joyful Microduck photos and videos to enjoy over your lunch or coffee break
Our friends at @pollenrobotics just dropped Microduck - open source biped for RL and locomotion🦆
We built a small biped robot you can teach new tricks to.
Train it in simulation, run it on the real thing. Meet Microduck 🦆
$399, shipping before Christmas.
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Today we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model.
Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone.
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100,000 hours of human hands doing real work. LeRobot format, fully annotated and open.
EgoSuite-Open100K from @LightwheelAI X @huggingface: 15,000+ tasks across 15,000+ real scenes, hand + body pose and wrist cams.
Recorded across 7 environment categories and 128 scene types, from kitchens and bedrooms to warehouse floors and assembly lines.
It's open for academic research and commercial training, and streams straight from the Hub. Always great to see a dataset at this scale released openly on the Hub.
More info:
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617 hours of high-precision human motion, openly released. Great to see it on the Hub!
Today we made HiPHI public: 617.5 hours of high-precision human motion and object interaction — one of the largest datasets of its kind ever released. Free for research.
Policies trained on it run on a real Unitree G1.
#PhysicalAI#
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