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license: mit
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# RDT-1B

RDT-1B is a 1B-parameter (largest to date) imitation learning Diffusion Transformer pre-trained on 1M+ (largest to date) 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.

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## Uses

RDT-1B supports finetuning on custom dataset, deploying and inferencing on real-robots, and pre-training with large scale datasets.

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


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