Xiaomi Releases Open‑Source Robotics‑1 Model
Xiaomi has released the source code of its foundational Robotics‑1 AI model, granting developers access to the model itself and a full suite of tools for training, evaluation, and deployment.
Training Data Overview
According to the company, the model underwent two‑stage training.
- First stage used over 100,000 hours of real‑world robotic operation data from the UMI dataset.
- Second stage involved fine‑tuning on more than 10,000 hours of cross‑embodiment data collected from various robot types.
This approach enables the model to adapt to different hardware platforms without requiring full retraining.
What’s Included in the Release
Xiaomi has opened nearly the entire workflow for working with the model.
- The Robotics‑1 model itself.
- Post‑training code for real robots.
- Deployment tools.
- Performance evaluation code.
- Benchmark support for comparing results.
Thus developers can replicate the full process—from fine‑tuning to launching the model on their own robotic platform.
How Robotics‑1 Works
Pre‑training
In the first stage the system builds a universal understanding of robotic actions.
The model receives:
- visual observation of the scene;
- a textual description of the assigned task.
Based on these inputs it predicts the sequence of actions needed to move from the current state to the desired outcome.
Fine‑tuning
The second stage adapts the foundational model to specific robot types and practical use‑cases.
Thanks to this, Xiaomi claims the model can be used almost “out of the box”.
Where to Access the Project
The company has already made official resources available:
- the official Xiaomi Robotics website;
- a GitHub repository;
- a Hugging Face collection page.
All necessary materials are now accessible to researchers and developers.
Why It Matters
The release of Robotics‑1 reflects a broader trend in which major tech firms open‑source foundational AI models for robotics.
Such an approach helps to:
- accelerate research;
- simplify model adaptation to new robots;
- create a unified ecosystem of tools for training robotic systems.
Xpert Take
Xiaomi’s decision to open‑source Robotics‑1 is more than just another AI model release. If large language models have become a universal platform for text‑based work, foundational robotics models could play an analogous role in the physical world, giving robots the ability to perceive their surroundings, interpret commands, and execute complex action sequences.
Particularly noteworthy is Xiaomi’s choice to publish not only the model weights but the full lifecycle—from fine‑tuning to deployment on real hardware. This lowers the barrier for researchers, universities, This lowers the barrier for researchers, universities, and startups and could speed up the development of an open robotics ecosystem. Against the backdrop of growing competition from OpenAI, Google DeepMind, NVIDIA, and Chinese AI firms, open models are increasingly becoming catalysts for the next generation of versatile robots.
