metadata
license: cc-by-nc-sa-4.0
language:
- en
- zh
size_categories:
- n>1T
tags:
- robotics
- real-world
- dual-arm
- whole body control
- manipulation
datasets:
- OpenGalaxea/Galaxea-Open-World-Dataset
🚀 Galaxea Open-World Dataset and G0 Dual-System VLA Model
G0-VLA architecture and training pipeline: Stage 1 pre-trains a vision-language model on cross-embodiment data in an autoregressive manner. Stage 2 and post-train share the same model structure, trained on Galaxea open-world data with embodiment-specific views and high-level and subtask instructions, by supervising the Action Transformer’s action reconstruction with a flow- matching loss.
In this repo, you can find:
- G0_3B_base.pt: Model Weights after Stage2 Pretraining
- G0_3B_base_dataset_statistics: Statistics for Dataset Used in Pretraining
📜 Citation
All the data and code within this repo are under CC BY-NC-SA 4.0. If you use our dataset or models, please cite:
@article{galaxea2025,
title={Galaxea G0: Open-World Dataset and Dual-System VLA Model},
author={Galaxea Team},
journal={arXiv preprint arXiv:2509.00576},
year={2025}
}