| Name | multirotor JSON |
| Version |
0.5.0
JSON |
| download |
| home_page | |
| Summary | Simulation testbed for multirotor vehicles. |
| upload_time | 2023-11-04 23:14:15 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
multirotor
simulation
gym
uav
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# multirotor
Simulation of multi-rotor unmanned aerial vehicles in python.
This package provides an object-oriented interface for modeling and simulating motors, propellers, and airframe of a UAV. Additionally, an OpenAI gym-compatible environment is provided for Reinforcement Learning experiments.
See the Demo jupyter notebook in the repository for a walkthrough.
Code repository: [Github](https://github.com/hazrmard/multirotor), [Gitlab](https://git.isis.vanderbilt.edu/ahmedi/multirotor)
Please cite this as:
```
@inproceedings{ahmed2022multirotor,
title={A high-Fidelity Simulation test-Bed for fault-Tolerant octo-Rotor Control Using Reinforcement Learning},
author={Ahmed, Ibrahim and Quinones-Grueiro, Marcos and Biswas, Gautam},
booktitle={2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)},
year={2022},
organization={IEEE}
}
```
## Installation
Install from the Python Package Index (PyPI):
```bash
pip install multirotor
```
Or, clone repository and install for development. This will allow you to change the code of the package so the changes show up when you `import multirotor` in other projects.
```bash
git clone https://github.com/hazrmard/multirotor.git
cd multirotor
pip install -e .
# to also install dependencies for building package/documentation
pip install -e .[DEV]
pip install -r docs/requirements.txt
```
## Code organization
The following main classes are available in the code. For simulating the vehicle:
And for simulating control:
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