Robotics is entering its data-driven era. The bitter lesson holds: hand-crafted solutions give way to learning at scale. Robotic capability is driven by powerful models trained on massive, high-quality data.
We are a group of AI researchers, roboticists, and engineers united by this belief. We co-design the perception → model → action stack to put human dexterity to work at planet scale — and power the next billion robots.
- 📣 Introducing General Intelligence Labs — our mission to build the data infrastructure for embodied AI
- 🥽 EGO1: An All-in-One Headset for Egocentric Robot-Learning Data
- ✋ Tracking Dexterous Hands: System Trade-offs for Scaling Robot Learning
We build in the open and on the shoulders of the robot-learning community.
- device-firmware — public firmware release channel for GI Labs devices
- gilabs-branding-guidelines — logos, marks, and usage guidelines
Building robots? Let's talk.
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Repositories
- visio-schema Public
- .github Public
- gilabs-branding-guidelines Public
Official logo files and usage guidelines for General Intelligence Labs.
- IGEV-plusplus Public Forked from gangweix/IGEV-plusplus
[TPAMI 2025 & CVPR 2023] IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
- lerobot Public Forked from huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
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