# procthor
**Repository Path**: mirrors_allenai/procthor
## Basic Information
- **Project Name**: procthor
- **Description**: 🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-07-28
- **Last Updated**: 2026-02-14
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
🏘️ ProcTHOR
Scaling Embodied AI by Procedurally Generating Interactive 3D Environments

ProcTHOR procedurally generates interactive, diverse, and semantically plausible houses that are compatible with AI2-THOR.
## Example
Install `procthor` with PyPi:
```bash
pip install procthor
```
And then run the example script to generate a new house:
```bash
export PYTHONPATH=$PYTHONPATH:$PWD
python scripts/example.py
```
## Citation
This code is used to generate houses for the [ProcTHOR](https://procthor.allenai.org/) paper:
```bibtex
@inproceedings{procthor,
author={Matt Deitke and Eli VanderBilt and Alvaro Herrasti and
Luca Weihs and Jordi Salvador and Kiana Ehsani and
Winson Han and Eric Kolve and Ali Farhadi and
Aniruddha Kembhavi and Roozbeh Mottaghi},
title={{ProcTHOR: Large-Scale Embodied AI Using Procedural Generation}},
booktitle={NeurIPS},
year={2022},
note={Outstanding Paper Award}
}
```
## 👋 Our Team
ProcTHOR is an open-source project built by the [PRIOR team](//prior.allenai.org) at the [Allen Institute for AI](//allenai.org) (AI2).
AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.
