Metadata-Version: 2.1
Name: autort-swarms
Version: 0.0.1
Summary: AutoRT - Pytorch
Home-page: https://github.com/kyegomez/AutoRT
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: swarms
Requires-Dist: zetascale
Project-URL: Documentation, https://github.com/kyegomez/AutoRT
Project-URL: Repository, https://github.com/kyegomez/AutoRT
Description-Content-Type: text/markdown

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# AutoRT
Implementation of AutoRT: "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents". This repo will implement the multi agent system that transforms a scene into a list of ranked and priortized tasks for an robotic action model to execute. This is an very effective setup that I personally beleive is the future for swarming robotic foundation models!

This project will be implemented using Swarms, for the various llms and use the official RT-1 as the robotic action model.

## Install




## Citation
```bibtext
@inproceedings{
    anonymous2023autort,
    title={Auto{RT}: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents},
    author={Anonymous},
    booktitle={Submitted to The Twelfth International Conference on Learning Representations},
    year={2023},
    url={https://openreview.net/forum?id=xVlcbh0poD},
    note={under review}
}

```


# License
MIT




