CLOVER
EDUCATIONAL
quadcopter kit
A bestselling open source programmable quadcopter kit
for STEAM education starting from 12 y.o.
CLOVER
Educational
quadcopter kit
A bestselling open source programmable quadcopter kit for STEAM education starting from 12 y.o.
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A comprehensive aerial robotics solution
Clover is a true STEAM learning tool.

As a teacher you can dive into following subjects:
- Physics: Electronics, electromechanics, aerodynamics, acceleration and gravity
- Math: Geometry, functions, scale factors and vectors
- Technology: Telemetry, data logging, lithium battery technology
- Arts: Design a drone payload using 3d-printing materials. Invent your custom Clover.
- Programming: coding using Linux systems using Scratch, Python and C++.
COEX Clover Drone kit
Get your foot into the world of coding and droning by taking to the skies with the programmable drone kit Clover. Whether you're a total noob or seasoned vet, the videos provide step-by-step instructions on assembling and programming it to do what you want.

Learn the inner workings of a drone, from physics to programming and telemetry, with this fun quadcopter kit. The set includes a PX4 flight controller and a Raspberry Pi 4 controlling onboard computer, which can be used to connect to the drone over Wi-Fi.
It's also Python based, meaning you'll learn real coding. And if you fail to make the code right, don ́t worry, just download the ready made codes.

The platform utilizes the ROS framework, which allows the user program to communicate with the Clover services.
Positioning systems
● Optical flow
● ArUlco markers
● GPS
COEX Clover Drone Repair kit
Keep your aircraft in top condition at all times with all the right drone repair tools from our repair kit.

We offer a repair kit that takes into consideration the flight experience of drone pilots.

This kit contains COEX PIX flight controller, PDB, brushless motors, RPi cam, props, prop guards and more.
Gazebo simulation
Now it is possible to run and debug code not only on a Clover drone, but also in the Gazebo simulator, where high-quality Clover 4 visual models and most of the hardware are presented.
PX4 supports Software in the Loop simulation where the Clover flight stack is running on the computer. It is the safest method to test hardware and software before using it on a real Clover drone.
Gazebo works as a powerful 3D simulation environment for Clover that allows testing object-avoidance, computer vision and more.

The simulation environment is based on the following components: - Gazebo simulator and plugins:
- ROS library;
- PX4 SITL.
COEX Clover
Open source programmable quadcopter kit
Indoor navigation
Optical flow algorithm, running on Raspberry Pi 4 allows the drone to maintain its position indoor
Maintainable frame
A carbon frame is now more sturdy, has gained enhanced strength, can be quickly assemble and repaired
Powerful motors
2306 brushless motors with high efficiency positively impact the flight control stabilization and payload capability
Programmable LED
A programmable 144 LED/m strip makes your Clover drone unique noticeable in the air
Left
Right
COEX Clover
Quadcopter build tutorial
Educational materials
With a COEX Clover drone we provide curruculum and number of educational materials for the assembly, piloting, engeneering and coding.
All icons are clickable, you can follow the links to begin the study:
Autonomous flights
Autonomous flights
PX4 firmware

The most popular open source flight software stack for quadcopters and other types of unmanned vehicles
ROS platform

The Clover platform includes a Raspberry Pi image with a pre-settings environment for developing autonomous flights
Recognition of ArUco markers
ArUco-markers is a popular technology for positioning robotic systems using computer vision
Optical flow


Perform indoor flights without ArUco markers or increase stability with it
PX4 firmware

The most popular open source flight software stack for quadcopters and other types of unmanned vehicles
ROS platform

The Clover platform includes a Raspberry Pi image with a pre-settings environment for developing autonomous flights
Recognition of ArUco markers
ArUco-markers is a popular technology for positioning robotic systems using computer vision
Optical flow


Perform indoor flights without ArUco markers or increase stability with it
Download specification
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