🏠IT之家•Apr 27, 2026Stalecollected in 5m

Xiaomi Open-Sources VLA Post-Training Pipeline

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#robotics #post-training #embodied-ai #manipulationxiaomi-robotics-0xiaomi-robotics-0 huggingface vla

💡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.

Who should care:Researchers & Academics

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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