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@@ -30,7 +30,7 @@ RDT2-FM builds on a vision-language backbone (RDT2-VQ) and predicts short-horizo
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  By leveraging flow matching, RDT2-FM achieves lower inference latency while maintaining strong instruction following and cross-embodiment generalization on UMI-style bimanual setups.
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  This repository specifically provides the action expert component of RDT2-FM.
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- [**Home**](https://rdt-robotics.github.io/rdt2/) - [**Github**](https://github.com/thu-ml/RDT2/tree/main?tab=readme-ov-file) - [**Discord**](https://discord.gg/vsZS3zmf9A)
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  By leveraging flow matching, RDT2-FM achieves lower inference latency while maintaining strong instruction following and cross-embodiment generalization on UMI-style bimanual setups.
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  This repository specifically provides the action expert component of RDT2-FM.
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+ [**Home**](https://rdt-robotics.github.io/rdt2/) - [**Github**](https://github.com/thu-ml/RDT2/tree/main?tab=readme-ov-file) - [**Discord**](https://discord.gg/vsZS3zmf9A) - [**Paper**](https://arxiv.org/abs/2602.03310)
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