Robotics
Transformers
PyTorch
English
RDT
rdt
RDT 2
Vision-Language-Action
Bimanual
Manipulation
Zero-shot
UMI
Flowmatching
Diffusion
Action Expert
Instructions to use robotics-diffusion-transformer/RDT2-FM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotics-diffusion-transformer/RDT2-FM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotics-diffusion-transformer/RDT2-FM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Citation
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```bibtex
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## Citation
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```bibtex
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@software{rdt2,
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title={RDT2: Enabling Zero-Shot Cross-Embodiment Generalization by Scaling Up UMI Data},
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author={RDT Team},
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url={https://github.com/thu-ml/RDT2},
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month={September},
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year={2025}
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}
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```
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