Xiaomi open-sources Xiaomi-Robotics-1, a VLA trained on 100K+ hours of real trajectories
Confirmed
Status
- Claim
Confirmed
- Our reporting
- High confidence
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 Astra77 days after its cutoff
- Claude Opus 5.516 days after its cutoff
- Gemini 4 Hydrogen107 days after its cutoff
- Grok 4.746 days after its cutoff
None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 16 days before it.
Key facts
- Data: 100K+ hours real-world UMI trajectories (pretraining) + 10K+ hours cross-embodiment robot data (post-training)
- RoboCasa 74.5%, RoboCasa365 57.4%, VLABench 59.1% (authors’ comparison tables)
- Open weights: XiaomiRobotics/Xiaomi-Robotics-1-5B (Apache-2.0); code released 2026-08-03
- Paper reports strong scaling with data and model size
What happened
Xiaomi’s robotics team released one of the largest real-data-trained open VLAs, following Xiaomi-Robotics-0 (Feb 2026).
Why it matters
It makes a 100K-hour-scale robot model openly available, narrowing the data gap between closed US labs and open Chinese releases.
Sources
3 sources from 3 sites. Numbers match the chips in the text.
3 sources: 3 primary
Primary
- arXiv 2607.15330: Xiaomi-Robotics-1arxiv.org, paper
- GitHub: XiaomiRobotics/Xiaomi-Robotics-1github.com, code
- Hugging Face: Xiaomi-Robotics-1-5Bhuggingface.co, code
Changes
- Filed