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 for all the above guides.
Citation
BibTeX:
[More Information Needed]