# Overview

**RoboCasa** is a large-scale simulation framework for training generally capable robots to perform everyday tasks. Four pillars underlie RoboCasa:
- **Diverse assets**, including 120 kitchen scenes and over 2,500 3D objects, created with the aid of generative AI tools
- **Cross-embodiment support** for mobile manipulators and humanoid robots
- **Diverse tasks** created with the guidance of large language models
- **High-quality human demonstrations** in addition to **massive robot datasets** created with automated trajectory tools

<p align="center">
  <img width="100.0%" src="../images/robocasa-banner.jpg">
 </p>

This documentation guide contains information about installation, getting started, and additional use cases such as accessing datasets, policy learning, and API docs.

### Citation

```bibtex
@inproceedings{robocasa2024,
  title={RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots},
  author={Soroush Nasiriany and Abhiram Maddukuri and Lance Zhang and Adeet Parikh and Aaron Lo and Abhishek Joshi and Ajay Mandlekar and Yuke Zhu},
  booktitle={Robotics: Science and Systems (RSS)},
  year={2024}
}
```