---
license: mit
---
# RDT-1B

RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given a language instruction and 3-view RGB image observations, RDT can predict the next 
64 robot actions. RDT is inherently compatible with almost all kinds of modern mobile manipulators, from single-arm to dual-arm, joint to EEF, pos. to vel., and even with a mobile chassis.

All the code and model weights are licensed under MIT license.

Please refer to our [project page](), [github repository]() and [paper]() for more information.

## Model Details

- **Developed by** Thu-ml team
- **License:** MIT
- **Pretrain dataset:** [More Information Needed]
- **Finetune dataset:** [More Information Needed]

- **Repository:** [More Information Needed]
- **Paper :** [More Information Needed]
- **Project Page:** https://rdt-robotics.github.io/rdt-robotics/

## Uses

RDT-1B supports finetuning and pre-training on custom dataset, as well as deploying and inferencing on real-robots.

Please refer to [our repository](https://github.com/GeneralEmbodiedSystem/RoboticsDiffusionTransformer/blob/main/docs/pretrain.md) for all the above guides.


## Citation 

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]