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Hugging Face Frames Open Source as Critical to Robotics AI
What happened
Hugging Face CEO Clément Delangue argues that open-source robotics AI lets students, researchers, and startups build on shared progress rather than rely on black-box robots from a few companies. He cites almost 100,000 public robotics datasets, over 30,000 public robotics models, and public evaluations across 140+ real-world scenes. He also says LeRobot passed 1M downloads and that v0.7.0 adds world action models, interactive robot control, and remote GPU inference.
Why it matters
The post connects Hugging Face’s robotics data, models, robots, evaluations, and software to its case for open-source development, with concrete community growth figures and activity.
Read next
More changes in today’s briefingMETR Says Anthropic May Have Crossed Its AI Acceleration Warning Threshold in JulyOpen-source is critical for robotics AI. It means a student, a researcher or a startup can build on years of progress and contribute something the whole community can use rather than concentrating everything in a few companies building a black-box robot.
That’s why we’re building @huggingface into the platform for open-source robotics AI! Amazing to see the progress we've made in the six months and it's accelerating!
- Almost 100,000 public robotics datasets on http://hf.co/datasets, up 48%
- Over 30,000 public robotics models, up 41%
- Microduck and Reachy mini, our open-source robots became the most popular robot of 2026 (probably ending the year with 50,000+ sold and 20,000+ shipped)
- We’re a founding partner of @RoboColosseum, evaluating robots across 140+ real-world scenes. Every run is published publicly on HF, including failures, so everyone can learn from what actually happens.
And @LeRobotHF got downloaded over 1M times and v0.7.0 just landed with new world action models, interactive robot control and remote GPU inference: https://huggingface.co/blog/lerobot/lerobot-release-v070!
Huge thanks to everyone making this happen 🤗🦾
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