HomeXiaomi Open Sources Full Post-Training Process for High-Precision VLA Model
Xiaomi has unveiled the complete post-training process for its visual-language-action (VLA) large model, Xiaomi-Robotics-0, making it open-source for real-world applications. This initiative represents a significant advancement in Xiaomi's embodied intelligence efforts, designed to help robots learn complex operational skills efficiently with minimal data.
Mastering "Needle-in-a-Straw" in 20 Hours
Building on a pre-trained foundation, the research team utilized just 20 hours of task-specific data for real-robot post-training. This enabled the robot to execute the challenging maneuver of precisely inserting earphones into a case. The task demands exceptional spatial perception accuracy and must compensate for displacement caused by surfaces with extremely low friction.
The model achieves alignment within sub-millimeter tolerances and can correct action deviations in real time. This smooth, continuous execution highlights the strong potential of Xiaomi-Robotics-0 for high-precision assembly operations.
Open-Source Ecosystem Accelerates Productivity
To transform this model into a practical, ready-to-use tool, Xiaomi has open-sourced not only the model weights but also the technical report and full source code. This comprehensive, end-to-end release significantly lowers the entry barrier for developers exploring embodied intelligence.
The model has already demonstrated strong performance on leading international benchmarks, ranking among the most downloaded globally. By opening the post-training process, Xiaomi enables developers worldwide to collaboratively refine robotic perception and execution logic, speeding up the integration of AI robots into real-world production and daily life.
Project Website: https://robotics.xiaomi.com/xiaomi-robotics-0.html
Open Source Code: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0
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Xiaomi has unveiled the complete post-training process for its visual-language-action (VLA) large model, Xiaomi-Robotics-0, making it open-source for real-world applications. This initiative represents a significant advancement in Xiaomi's embodied intelligence efforts, designed to help robots learn complex operational skills efficiently with minimal data.
Mastering "Needle-in-a-Straw" in 20 Hours
Building on a pre-trained foundation, the research team utilized just 20 hours of task-specific data for real-robot post-training. This enabled the robot to execute the challenging maneuver of precisely inserting earphones into a case. The task demands exceptional spatial perception accuracy and must compensate for displacement caused by surfaces with extremely low friction.
The model achieves alignment within sub-millimeter tolerances and can correct action deviations in real time. This smooth, continuous execution highlights the strong potential of Xiaomi-Robotics-0 for high-precision assembly operations.
Open-Source Ecosystem Accelerates Productivity
To transform this model into a practical, ready-to-use tool, Xiaomi has open-sourced not only the model weights but also the technical report and full source code. This comprehensive, end-to-end release significantly lowers the entry barrier for developers exploring embodied intelligence.
The model has already demonstrated strong performance on leading international benchmarks, ranking among the most downloaded globally. By opening the post-training process, Xiaomi enables developers worldwide to collaboratively refine robotic perception and execution logic, speeding up the integration of AI robots into real-world production and daily life.
Project Website: https://robotics.xiaomi.com/xiaomi-robotics-0.html
Open Source Code: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0
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