Xiaomi Open-Sources VLA Post-Training Pipeline
💡Open-source VLA pipeline trains robots for sub-mm tasks in 20hrs—huge for embodied AI devs.
⚡ 30-Second TL;DR
What Changed
Open-sourced complete post-training pipeline for Xiaomi-Robotics-0 VLA model.
Why It Matters
This democratizes high-precision embodied AI for robotics, lowering barriers for developers to fine-tune VLAs on real hardware. It could spur rapid advancements in manipulation tasks across industries like manufacturing and consumer tech.
What To Do Next
Clone the GitHub repo and fine-tune Xiaomi-Robotics-0 on your robot arm using the 20-hour dataset example.
Key Points
- •Open-sourced complete post-training pipeline for Xiaomi-Robotics-0 VLA model.
- •20 hours of task data enables continuous earphone stowing with sub-mm precision.
- •Addresses Ra0.03μm surface roughness and tight slot tolerances via deviation correction.
- •Ranked 6th on HuggingFace global VLA downloads in first month post-release.
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Original source: IT之家 ↗
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