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GranularGym\n\nHigh performance simulation for robotic tasks with granular materials.\nGranularGym can reach realtime simulation of hundreds of thousands of particles\ninteracting (one-way) with rigid bodies of arbitrary geometry.\n\nThis repository contains the core engine code, example usages are given in the\nreferenced paper below.\n\n## Licensing\n\nGranularGym is licensed under the GPL-3.0 license, see LICENSE.txt for details.\n\nAdditionally, the United States National Aeronautics and Space Administration\n(NASA) and the United States Government are licensed this software (GranularGym)\nunder the MIT license for any purpose.\n\nIf you are interested in another licensing scheme for any purpose, please\ncontact the authors.\n\n## Acknowledgement\n\nThe development of GranularGym has been supported by a NASA Space Technology\nResearch Fellowship, grant number 80NSSC19K1182.\n\n## Citation\n\nA related conference paper (_GranularGym: High Performance Simulation for\n  Robotic Tasks with Granular Materials_) appears in the Robotics: Science and\nSystems 2023 conference proceedings, or on the arXiv preprint server:\nhttps://arxiv.org/abs/2306.01369.\n\nBibTeX:\n```\n@inproceedings{millard2023granulargym,\n  title={GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials},\n  author={Millard, David and Pastor, Daniel and Bowkett, Joseph and Backes, Paul and Sukhatme, Gaurav S},\n  eventtitle={Robotics: Science and Systems},\n  venue={Daegu, Korea},\n  year={2023},\n  month=jul,\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmillard%2Fgranulargym","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmillard%2Fgranulargym","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmillard%2Fgranulargym/lists"}