Question 1

How do I install Clover on a custom drone that isn't the COEX kit?

Accepted Answer

You can manually install the `clover` ROS package from the GitHub repository, but the preconfigured image is tailored for Raspberry Pi and PX4 autopilots, requiring adjustments for other hardware. Refer to the package documentation for setup instructions.

Question 2

Clover vs. PX4 alone for autonomous flight, which is better?

Accepted Answer

Clover builds on PX4 by adding a ROS-based framework with pre-integrated tools like computer vision and peripheral drivers, making it faster for educational prototyping. However, PX4 alone offers more flexibility for custom, low-level control in production environments.

Question 3

How to program autonomous behaviors with Clover?

Accepted Answer

Use the `clover` ROS package to write Python or C++ nodes that publish to topics like `/mavros/setpoint_position/local`, leveraging the provided API for offboard control. The documentation on GitBook includes examples for simple autonomous flights.

Question 4

Can I use Clover with ROS 2 instead of ROS Noetic?

Accepted Answer

No, Clover is currently built on ROS Noetic and does not support ROS 2, as the README specifies the image includes ROS Noetic. Migrating would require significant porting effort due to dependency differences.

Question 5

What hardware besides the COEX kit is compatible with Clover?

Accepted Answer

Clover is designed for Raspberry Pi 4 with PX4 autopilots like Pixracer, but it may work with other PX4-compatible flight controllers. However, peripheral drivers and configurations are optimized for the COEX kit, so YMMV.

Question 6

Is Clover suitable for industrial drone applications?

Accepted Answer

Not ideally, as it's education-focused with a preconfigured stack that may lack scalability, real-time guarantees, and commercial support needed for industrial deployments. Consider more robust frameworks like PX4 with custom integrations.

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