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tf_rbdl\ntf_rbdl is a python library that contains some essential rigid body dynamics\nalgorithms such as forward dynamics and inverse dynamics using Tensorflow. It\nuses Lie Group representation and provides kinematic and dynamics quatities of\nrigid body systems.\n\n## Examples\n### General Usages\n- See [examples/general_usage.py](https://github.com/junhyeokahn/tf_rbdl/blob/master/examples/general_usage.py) for details.\n\n## Installation\nYou can install `tf_rbdl` from PyPI:\n```bash\n$ pip install tf_rbdl\n```\nor, you can also install from source:\n```bash\n$ git clone https://github.com/junhyeokahn/tf_rbdl\n$ cd tf_rbdl\n$ pip install -e .\n```\n\n## Citation\n```\n@misc{junhyeok_ahn_2020_3828061,\n  author       = {Junhyeok Ahn},\n  title        = {junhyeokahn/tf\\_rbdl: tf\\_rbdl-v1.2.0},\n  month        = may,\n  year         = 2020,\n  publisher    = {Zenodo},\n  version      = {v1.2.0},\n  doi          = {10.5281/zenodo.3828061},\n  url          = {https://doi.org/10.5281/zenodo.3828061}\n}\n```\n\n## Acknowledgement\nThis library is based on the book [Modern\nRobotics](http://hades.mech.northwestern.edu/index.php/Modern_Robotics) and the\n[code](https://github.com/NxRLab/ModernRobotics).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunhyeokahn%2Ftf_rbdl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjunhyeokahn%2Ftf_rbdl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjunhyeokahn%2Ftf_rbdl/lists"}