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README.md

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# A sample Python project
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# Turtle Locomotion Oracles
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![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")
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This Python package contains oracles of the movement of turtle limbs during locomotion (e.g., swimming /)
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Some oracles are based on real-world observations of turtle locomotion, while others are based on theoretical/template models.
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A sample project that exists as an aid to the [Python Packaging User
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Guide][packaging guide]'s [Tutorial on Packaging and Distributing
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Projects][distribution tutorial].
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## Installation
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This project does not aim to cover best practices for Python project
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development as a whole. For example, it does not provide guidance or tool
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recommendations for version control, documentation, or testing.
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Installation is very easy - just clone the repository and install the package using pip.
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[The source for this project is available here][src].
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```bash
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pip install -e .
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```
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The metadata for a Python project is defined in the `pyproject.toml` file,
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an example of which is included in this project. You should edit this file
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accordingly to adapt this sample project to your needs.
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## Usage
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----
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## Provided Oracles
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This is the README file for the project.
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### Joint-space Oracles
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The file should use UTF-8 encoding and can be written using
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[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
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use]. It will be used to generate the project webpage on PyPI and will be
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displayed as the project homepage on common code-hosting services, and should be
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written for that purpose.
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#### Cornelia Turtle Robot Joint Space Trajectory
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Typical contents for this file would include an overview of the project, basic
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usage examples, etc. Generally, including the project changelog in here is not a
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good idea, although a simple “What's New” section for the most recent version
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may be appropriate.
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This oracle provides a joint-space trajectory developed for the Cornelia turtle robot by (van der Geest et al., 2023).
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Please refer to the original paper for more information: https://doi.org/10.1038/s41598-023-37904-5
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[packaging guide]: https://packaging.python.org
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[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
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[src]: https://github.com/pypa/sampleproject
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[rst]: http://docutils.sourceforge.net/rst.html
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[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
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[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
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> van der Geest, N., Garcia, L., Borret, F., Nates, R., & Gonzalez, A. (2023).
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Soft-robotic green sea turtle (Chelonia mydas) developed to replace animal experimentation provides new insight
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into their propulsive strategies. Scientific Reports, 13(1), 11983.
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and cite it if you use this oracle in your research.
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```bibtex
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@article{van2023soft,
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title={Soft-robotic green sea turtle (Chelonia mydas) developed to replace animal experimentation provides new insight into their propulsive strategies},
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author={van der Geest, Nick and Garcia, Lorenzo and Borret, Fraser and Nates, Roy and Gonzalez, Alberto},
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journal={Scientific Reports},
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volume={13},
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number={1},
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pages={11983},
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year={2023},
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publisher={Nature Publishing Group UK London}
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}
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```
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### Task-space Oracles
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#### Green Sea Turtle Swimming Task Space Trajectory
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This oracle provides a task-space trajectory that was fitted to video recordings of the swimming of Green sea turtles (van der Geest et al., 2022).
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Please refer to the original paper for more information: https://doi.org/10.1038/s41598-022-21459-y
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> van der Geest, N., Garcia, L., Nates, R., & Godoy, D. A. (2022).
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New insight into the swimming kinematics of wild Green sea turtles (Chelonia mydas).
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Scientific Reports, 12(1), 18151.
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and cite it if you use this oracle in your research.
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```bibtex
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@article{van2022new,
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title={New insight into the swimming kinematics of wild Green sea turtles (Chelonia mydas)},
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author={van der Geest, Nick and Garcia, Lorenzo and Nates, Roy and Godoy, Daniel A},
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journal={Scientific Reports},
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volume={12},
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number={1},
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pages={18151},
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year={2022},
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publisher={Nature Publishing Group UK London}
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}
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```

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