robotics-diffusion-transformer
/

rdt-1b

@@ -18,7 +18,7 @@ tags:
  RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given language instruction and RGB images of up to three views, RDT can predict the next
 64 robot actions. RDT is compatible with almost all modern mobile manipulators, from single-arm to dual-arm, joint to EEF, position to velocity, and even wheeled locomotion.
- All the [code](https://github.com/thu-ml/RoboticsDiffusionTransformer/tree/main?tab=readme-ov-file), pre-trained model weights, and [data](https://github.com/thu-ml/RoboticsDiffusionTransformer) are licensed under the MIT license.
  Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper](https://arxiv.org/pdf/2410.07864) for more information.

  RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given language instruction and RGB images of up to three views, RDT can predict the next
 64 robot actions. RDT is compatible with almost all modern mobile manipulators, from single-arm to dual-arm, joint to EEF, position to velocity, and even wheeled locomotion.
+ All the [code](https://github.com/thu-ml/RoboticsDiffusionTransformer/tree/main?tab=readme-ov-file), pre-trained model weights, and [data](https://huggingface.co/datasets/robotics-diffusion-transformer/rdt-ft-data) are licensed under the MIT license.
  Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper](https://arxiv.org/pdf/2410.07864) for more information.