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xiaomirobotics/xiaomi-robotics-1

Analysis updated 2026-05-18

233Audience · researcherComplexity · 1/5Setup · hard

TLDR

A placeholder repository announcing Xiaomi's upcoming robot AI model, trained on over 100,000 hours of real robot data, with code not yet released.

Mindmap

mindmap
  root((Xiaomi Robotics 1))
    What it does
      Vision language action model
      Trained on real robot trajectories
      Not yet released
    Tech stack
      Robot foundation model
    Use cases
      Track upcoming release
      Cite in research papers
    Audience
      Robotics researchers
      AI research teams

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Track when Xiaomi releases the code and weights for this robot foundation model

USE CASE 2

Cite the project in academic papers using the provided BibTeX entry

USE CASE 3

Visit the linked project website to learn about the model's capabilities

What is it built with?

Vision-Language-Action Model

How does it compare?

xiaomirobotics/xiaomi-robotics-1bjtupupil/ascendfheblinkdl/rwkv-cuda
Stars233233232
LanguageC++Cuda
Last pushed2025-12-10
MaintenanceQuiet
Setup difficultyhardhardhard
Complexity1/55/54/5
Audienceresearcherresearcherresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

No code or model weights are published yet, the repository is an announcement placeholder only.

In plain English

This repository is the placeholder page for Xiaomi Robotics 1, a robot foundation model being built by Xiaomi's robotics team. According to the README, the model is a vision language action system, meaning it is trained to take in an image of what a robot sees along with a text instruction and produce the physical actions the robot should take to carry out that instruction. The headline claim is that the model was pre trained on more than 100,000 hours of real world robot trajectories, meaning actual recorded sequences of a robot moving and interacting with objects, rather than only simulated data. The authors describe this as a step toward scaling embodied intelligence, which refers to AI systems that act in the physical world through a robot body rather than only generating text or images. At the time this page was written, the actual code and the trained model weights had not been released yet. The README states they were expected to come out around July 16, 2026, and links out to a project website for more information, but the GitHub repository itself contains no source code, no installation instructions, and no usage examples. The only other content is an academic citation entry for researchers who want to reference the project in a paper. Because of this, there is nothing here yet that a developer, PM, or vibe coder can install or run. This repository is best understood as an announcement and citation placeholder for a robotics research project, not a working tool. Anyone interested in using it should check back later or visit the linked website for updates on when the code and model actually become available.

Copy-paste prompts

Prompt 1
Explain what a vision-language-action model is and how it is used in robotics
Prompt 2
Summarize what it means to pre-train a robot model on real-world trajectory data
Prompt 3
Help me set a reminder to check back on this repository once the code is released

Frequently asked questions

What is xiaomi-robotics-1?

A placeholder repository announcing Xiaomi's upcoming robot AI model, trained on over 100,000 hours of real robot data, with code not yet released.

How hard is xiaomi-robotics-1 to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is xiaomi-robotics-1 for?

Mainly researcher.

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