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48 lines
3.1 KiB
Markdown
48 lines
3.1 KiB
Markdown
# clover🍀: create autonomous drones easily
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<img src="docs/assets/clover42-main-margin.png" align="right" width="400px" alt="COEX Clover Drone">
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Clover is an open source [ROS](https://www.ros.org)-based framework, providing user-friendly tools to control [PX4](https://px4.io)-powered drones. Clover is available as a ROS package, but is shipped mainly as a preconfigured image for Raspberry Pi. Once you've installed Raspberry Pi on your drone and flashed the image to its microSD card, taking the drone up in the air is a matter of minutes.
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COEX Clover Drone is an educational programmable drone kit, suited perfectly for running clover software. The kit is shipped unassembled and includes Pixracer-compatible autopilot running PX4 firmware, Raspberry Pi 4 as a companion computer, a camera for computer vision navigation as well as additional sensors and peripheral devices. Batteries included.
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The main documentation is available at [https://clover.coex.tech](https://clover.coex.tech/). Official website: [coex.tech/clover](https://coex.tech/clover).
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[__Support us on Kickstarter!__](https://www.kickstarter.com/projects/copterexpress/cloverdrone)
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## Video compilation
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[](https://youtu.be/u3omgsYC4Fk)
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Clover drone is used on a wide range of educational events, including [Copter Hack](https://www.youtube.com/watch?v=xgXheg3TTs4), WorldSkills Drone Operation competition, [Autonomous Vehicles Track of NTI Olympics 2016–2020](https://www.youtube.com/watch?v=E1_ehvJRKxg), Quadro Hack 2019 (National University of Science and Technology MISiS), Russian Robot Olympiad (autonomous flights), and others.
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## Raspberry Pi image
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Preconfigured image for Raspberry Pi with installed and configured software, ready to fly, is available [in the Releases section](https://github.com/CopterExpress/clover/releases).
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Image features:
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* Raspbian Buster
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* [ROS Noetic](http://wiki.ros.org/noetic)
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* Configured networking
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* OpenCV
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* [`mavros`](http://wiki.ros.org/mavros)
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* Periphery drivers for ROS ([GPIO](https://clover.coex.tech/en/gpio.html), [LED strip](https://clover.coex.tech/en/leds.html), etc)
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* `aruco_pose` package for marker-assisted navigation
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* `clover` package for autonomous drone control
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API description for autonomous flights is available [on GitBook](https://clover.coex.tech/en/simple_offboard.html).
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For manual package installation and running see [`clover` package documentation](clover/README.md).
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## Support
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[](https://t.me/COEXHelpdesk)
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## License
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While the Clover platform source code is available under the MIT License, note, that the [documentation](docs/) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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