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OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine

License: MIT License

Shell 0.45% Python 99.25% HTML 0.10% Batchfile 0.11% Dockerfile 0.08%

omnigibson's Introduction

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OmniGibson


Latest Updates

  • [04/10/22] v0.1.0: Significantly improved stability, performance, and ease of installation ๐Ÿ”ง [release notes]

OmniGibson is a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse platform, featuring:

  • ๐Ÿ“ธ Photorealistic Visuals and ๐Ÿ“ Physical Realism
  • ๐ŸŒŠ Fluid and ๐Ÿ‘• Soft Body Support
  • ๐Ÿ”๏ธ Large-Scale, High-Quality Scenes and ๐ŸŽพ Objects
  • ๐ŸŒก๏ธ Dynamic Kinematic and Semantic Object States
  • ๐Ÿค– Mobile Manipulator Robots with Modular โš™๏ธ Controllers
  • ๐ŸŒŽ OpenAI Gym Interface

Check out OmniGibson's documentation to get started!

Citation

If you use OmniGibson or its assets and models, please cite:

@inproceedings{
li2022behavior,
title={{BEHAVIOR}-1K: A Benchmark for Embodied {AI} with 1,000 Everyday Activities and Realistic Simulation},
author={Chengshu Li and Ruohan Zhang and Josiah Wong and Cem Gokmen and Sanjana Srivastava and Roberto Mart{\'\i}n-Mart{\'\i}n and Chen Wang and Gabrael Levine and Michael Lingelbach and Jiankai Sun and Mona Anvari and Minjune Hwang and Manasi Sharma and Arman Aydin and Dhruva Bansal and Samuel Hunter and Kyu-Young Kim and Alan Lou and Caleb R Matthews and Ivan Villa-Renteria and Jerry Huayang Tang and Claire Tang and Fei Xia and Silvio Savarese and Hyowon Gweon and Karen Liu and Jiajun Wu and Li Fei-Fei},
booktitle={6th Annual Conference on Robot Learning},
year={2022},
url={https://openreview.net/forum?id=_8DoIe8G3t}
}

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