Skip to content

🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses

License

Notifications You must be signed in to change notification settings

zhiyuan-gao/procthor

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

43 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🏘️ ProcTHOR

Scaling Embodied AI by Procedurally Generating Interactive 3D Environments

procthor-cover(1)

ProcTHOR procedurally generates interactive, diverse, and semantically plausible houses that are compatible with AI2-THOR.

Example

Install procthor with PyPi:

pip install procthor

And then run the example script to generate a new house:

export PYTHONPATH=$PYTHONPATH:$PWD
python scripts/example.py

Citation

This code is used to generate houses for the ProcTHOR paper:

@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 at the Allen Institute for AI (AI2). AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.


About

🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 94.3%
  • C# 5.7%