metadata
license: mit
base_model:
- nvidia/GR00T-N1-2B
pipeline_tag: robotics
library_name: transformers
Post-trained Models of GR00T-N1-2B
This repository provides post-trained weights of the GR00T-N1-2B model used in our paper.
For detailed results, implementation notes, and demonstration videos, please visit our paper, project page and GitHub repository.
Available Models
- RoboCasa (MG100) GR00T-N1-2B-tuned-RoboCasa-MG100-FrankaPandaGripper
- DexMimicGen (MG100) GR00T-N1-2B-tuned-DexMG-MG100-CrossEmbodiments
Usage
You can clone the repository and run the rollout scripts as follows.
Please ensure that the preprocessing steps described in the Quick Start section are completed beforehand.
Citation
If you find this model or code useful in your research, please cite our paper:
@article{park2025acg,
title={ACG: Action Coherence Guidance for Flow-based VLA Models},
author={Park, Minho and Kim, Kinam and Hyung, Junha and Jang, Hyojin and Jin, Hoiyeong and Yun, Jooyeol and Lee, Hojoon and Choo, Jaegul},
journal={arXiv preprint arXiv:2510.22201},
year={2025}
}
Acknowledgement
This repository builds upon the incredible open-source efforts of
Isaac-GR00T,
Robosuite,
Robomimic,
RoboCasa,
DexMimicGen, and
Diffusers.
We sincerely appreciate their outstanding contributions to the robotics and AI community.