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Merge pull request #5 from learnsyslab/new-orga
Update github organization
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README.md

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[Python Version]: https://img.shields.io/badge/python-3.10+-blue.svg
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[Python Version URL]: https://www.python.org
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[Ruff Check]: https://github.com/utiasDSL/drone-models/actions/workflows/ruff.yml/badge.svg?style=flat-square
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[Ruff Check URL]: https://github.com/utiasDSL/drone-models/actions/workflows/ruff.yml
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[Ruff Check]: https://github.com/learnsyslab/drone-models/actions/workflows/ruff.yml/badge.svg?style=flat-square
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[Ruff Check URL]: https://github.com/learnsyslab/drone-models/actions/workflows/ruff.yml
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[Tests]: https://github.com/utiasDSL/drone-models/actions/workflows/testing.yml/badge.svg
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[Tests URL]: https://github.com/utiasDSL/drone-models/actions/workflows/testing.yml
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[Tests]: https://github.com/learnsyslab/drone-models/actions/workflows/testing.yml/badge.svg
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[Tests URL]: https://github.com/learnsyslab/drone-models/actions/workflows/testing.yml
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[Docs]: https://github.com/utiasDSL/drone-models/actions/workflows/docs.yml/badge.svg
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[Docs URL]: https://utiasdsl.github.io/drone-models/
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[Docs]: https://github.com/learnsyslab/drone-models/actions/workflows/docs.yml/badge.svg
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[Docs URL]: https://learnsyslab.github.io/drone-models/
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## Overview
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Clone and install with [pixi](https://pixi.sh):
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```bash
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git clone https://github.com/utiasDSL/drone-models.git
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git clone https://github.com/learnsyslab/drone-models.git
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cd drone-models
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pixi install
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```
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## Citation
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Citation information coming soon. See the [docs](https://utiasdsl.github.io/drone-models/) for updates.
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Citation information coming soon. See the [docs](https://learnsyslab.github.io/drone-models/) for updates.

docs/get-started/installation.md

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Clone the repository and install all environments in one step:
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```bash
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git clone https://github.com/utiasDSL/drone-models.git
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git clone https://github.com/learnsyslab/drone-models.git
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cd drone-models
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pixi install
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```

docs/user-guide/models.md

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The full rigid-body physics model. The command is four individual motor RPMs. The model computes forces and torques from the RPMs using polynomial thrust and torque curves, applies the mixing matrix to find body-frame moments, and integrates using Newton–Euler equations. Propeller inertia and gyroscopic effects are included. No fitting to flight data is required — all parameters are physical constants you can measure or look up.
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Working at the rotor-velocity level means you need a controller that converts higher-level commands — position setpoints, attitude + collective thrust — down to individual motor RPMs. [drone-controllers](https://utiasdsl.github.io/drone-controllers/) provides a matching set of controllers designed for exactly this interface.
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Working at the rotor-velocity level means you need a controller that converts higher-level commands — position setpoints, attitude + collective thrust — down to individual motor RPMs. [drone-controllers](https://learnsyslab.github.io/drone-controllers/) provides a matching set of controllers designed for exactly this interface.
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```python
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import numpy as np

docs/user-guide/system-identification.md

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model = parametrize(dynamics, drone_model="my_drone")
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```
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Support for new drone models can be added to the shared parameter files via a pull request on [GitHub](https://github.com/utiasDSL/drone-models).
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Support for new drone models can be added to the shared parameter files via a pull request on [GitHub](https://github.com/learnsyslab/drone-models).
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## Which model to identify
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mkdocs.yml

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site_name: Drone Models
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site_description: Models of quadrotor drones for estimation and control tasks
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site_url: https://utiasdsl.github.io/drone-models/
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repo_url: https://github.com/utiasDSL/drone-models
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repo_name: utiasDSL/drone-models
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site_url: https://learnsyslab.github.io/drone-models/
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repo_url: https://github.com/learnsyslab/drone-models
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repo_name: learnsyslab/drone-models
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theme:
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name: material

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