Drone Programming: Learn to Program with Drones

Welcome to the world of drone programming, where innovation meets technology to create autonomous drones capable of executing complex tasks. This guide will introduce you to the fundamentals of drone coding, exploring various programming languages like Python and C++ that are pivotal for developing intelligent drone applications.

You’ll discover how to harness the power of computer vision and machine learning, enabling drones to navigate and interact with their environment seamlessly. Whether you’re a beginner or an advanced user, understanding the intricacies of programmable drones will enhance your skills and open new possibilities.

Join us as we delve into the exciting realm of drone technology, providing you with the knowledge and tools needed to succeed in this rapidly evolving field. Get ready to embark on a journey that combines creativity and technical expertise, transforming the future of drones.

Getting Started with Drone Programming

Drone programming is an exciting field that combines technical skills with creativity, offering endless possibilities for innovation. To embark on this journey, the first step is to choose a programming language and platform that aligns with your needs and skill level.

Python is a popular choice for drone programming due to its simplicity and extensive libraries, making it ideal for beginners. Its user-friendly syntax allows you to quickly grasp the basics and start coding. Additionally, Python’s rich ecosystem of libraries, such as DroneKit and OpenCV, provides powerful tools for drone control and computer vision.

For those with more experience, C++ and Java offer greater performance and control capabilities. These languages are well-suited for advanced users who require fine-tuned control over their drone’s hardware and firmware. MATLAB is another option, particularly useful for complex mathematical computations and simulations.

When selecting a programming language, consider your skill level, project requirements, and personal preference. Beginners may find Python more accessible, while advanced users might prefer the robustness of C++ or Java.

In addition to choosing a programming language, selecting the right platform is crucial. Popular platforms like Arduino, Raspberry Pi, and ROS each offer unique advantages. Arduino, for instance, is an open-source microcontroller that works well with C/C++ for controlling sensors and actuators.

Raspberry Pi, a mini-computer running Linux, allows you to use Python for more complex tasks. ROS (Robot Operating System) is a powerful framework for developing sophisticated applications and algorithms, ideal for advanced users.

By carefully choosing your programming language and platform, you can set a solid foundation for your drone programming projects.

Best Drone Kits for the Money

Below are the drone kits we think top the list right now. These kits may not be programmable, however, if you just want to fly these are great options that won’t break the bank!

#1. Drone X Pro Limitless 4S

Check Amazon Pricing

Key Features

• Advanced obstacle avoidance and extended range
• GPS precision and auto return home feature
• Extended flight time and extremely powerful motors
• Cinematic 4K UHD video and smooth 3-axis gimbal
• Gesture control with dynamic follow-me technology

Pros and Cons

Pros: 

• High-quality 4K UHD photos and video
• 5,000 mAh battery providing 30 minutes of flight per charge
• Powerful brushless motors for reduced noise and long battery life
• Easy to set up even for beginners

Cons: 

• More expensive than other drones listed

#2. Potensic ATOM 4K GPS Drone Kit

Check Amazon Pricing

Key Features

• Lightweight, less than 249 grams
• Rock steady 4K 3-axis gimbal
• Fast charge, 96 minute flight time
• Up to 5-mile transmission
• Beginner friendly with auto return

Pros and Cons

Pros: 

• Affordable price
• Long lasting battery with 96 minutes of flight time
• Easy to control with stable flight
• Compact and lightweight, easier storage and transport
• Beginner flight modes
• Simple and intuitive control app

Cons: 

• Doesn’t fly too well against strong wind

#3. Holy Stone 3 Axis Gimbal Drone

Check Amazon Pricing

Key Features

• FAA-Compliant with built-in remote ID
• 4K UHD camera with 3-axis gimbal
• Built-in cutting edge GPS technology
• One-click take-off and landing, emergency landing feature

Pros and Cons

Pros: 

• Auto returns home when battery gets low
• Easy to learn and master quickly
• Very well priced for what you get
• Brushless motors for low noise

Cons: 

• Less than 25 minutes flying time

Choosing the Right Drone Programming Platform

Selecting the right platform for drone programming is a critical decision that can significantly impact your project’s success. A platform comprises both hardware and software components that facilitate communication with your drone, and each has its own strengths and weaknesses.

Arduino is a popular choice for those who prefer a hands-on approach. This open-source microcontroller can be programmed using C/C++ and is excellent for controlling sensors and actuators on your drone. Its simplicity and extensive community support make it a great starting point for beginners.

Raspberry Pi offers more computational power and flexibility. This mini-computer can run various operating systems, including Linux, and allows you to use Python for drone control. Raspberry Pi is ideal for projects that require more processing power and versatility, such as integrating computer vision or machine learning algorithms.

For advanced users, ROS (Robot Operating System) provides a comprehensive framework for developing complex applications. ROS supports a wide range of hardware and software components, enabling you to create sophisticated algorithms and control systems for your drone. It’s particularly useful for research and development projects that demand high levels of customization and performance.

When choosing a platform, consider factors such as ease of use, performance requirements, community support, and compatibility with your drone and additional hardware. By selecting the right platform, you can ensure a smoother development process and achieve your project goals more efficiently.

What Programming Languages are used to program drones?

To answer this question, we have to understand that there are two different layers of drone programming: low-level and high-level. In low-level programming, we are dealing with the drone’s firmware, while in high-level drone programming, we are talking about applications or software level.

Low-level (firmware) programming

In low-level programming, our concentration is on the drone’s firmware, which basically coordinates the hardware aspects of the drone such as the motor(s), propellers, ESC, battery, etc. Basically, the drone’s firmware allows the drone to have its basic functionalities and operations.

The drone’s firmware, for example, handles things like determining the exact amount of power that should be delivered to the motors by analyzing the information coming from the drone’s IMU (Inertial Measurement Unit). This will allow the drone to perform a stable and level flight, the most basic and yet most important function of any drone.

In low-level programming, C and C++ are the primary programming language you’d need to learn, although lower-level machine language like Assembly can also help.

Obviously, these lower-level languages aren’t the easiest to learn, but once you get the hang of them, they can be a lot of fun as you learn to program the different aspects of the drone’s hardware and firmware. In cases of DIY/modular drone, the hardware kit used would also determine what kinds of language is needed to build the code.

For example, Arduino and Raspberry Pi are popular in modular drone kits, and in such cases, we should use the respective language that is compatible with these modular hardware kits. Most of these languages, however, are based on C/C++.

Arduino, for example, is actually a group of C/C++ commands that we can call through an interface that is Arduino sketch. So, basically, if you know enough C and C++, you are good to go.

High-level programming with Python

In this type of programming, we are dealing with the applications of the drone. A drone is already a complete unit, and we can treat it as an API that would respond to our command. The integration of Python programming is a key feature for enhancing students’ grasp of computer science concepts, particularly in the context of drone technology education.

Functions like controlling the drone to a certain altitude via the Flight Controller (FC) or interpreting information from GPS so the drone can move to a GPS waypoint, and even increasing/decreasing speed are handled by high-level programming.

High-level programming will work together with the firmware to perform the intended response and a high-level programmer doesn’t need to consider the technicalities of how the program is executed at the firmware level.

For example, in high-level programming, we only need to consider how the drone can read the information from GPS correctly and ensure it will move to the desired location. How the motors and ESC must work are handled in low-level programming, and is not the concern here.

As you can see, high-level programming is much more accessible and user-friendly. Python is a very popular high-level language that is also popular in drone programming, and Java is another popular choice.

Typically in high-level programming, however, we are most likely to deal with APIs (Application Programming Interfaces) rather than an actual language.

For example, the drone in question might provide a Java-based API so we can code the AR in Java with the help of an interface. There are, however, APIs that are based on C/C++, so again knowing your C/C++ can be a valuable asset.

What is the Best Way to Learn Drone Programming?

The best approach is to get a programmable drone and use an SDK and API to program the drone at its application level. There are programmable drones that include their SDK/API in their packages, but if you already happen to own a compatible drone, you might be able to hack into the drone to use an SDK, depending on the drone model.

Basically what you need to do here is to get a drone that supports the SDK and/or programming language of your choosing. The basic approach here is to build your own mobile drone app using the SDK, the app is where our high-level programming will go, and in turn, the app will control the drone’s application.

There are many SDK/API options available for building drone apps at the moment, but here are some of the common options that are supported by popular drone products:

DroneKit SDK/API

DroneKit is an SDK/API produced by 3D Robotics, and you can easily access DroneKit’s Android SDK documentation to create an Android control app. The DroneKit APIs and SDKs are free and open-source and supports all major drone platforms.

DroneKit DK supports autonomous flight features, intelligent path planning, and live telemetry, but we can use its API libraries to integrate additional actuators, sensors, and unlock more features.

It is an open-source SDK, so although it is totally free, you won’t get dedicated customer support. However, there are various example projects that can help you learn to program in their GitHub repositories.

FlytBase SDK/API

FlytBase is another popular platform offering SDKs and APIs to build a drone control app. Unlike DroneKit, however, it is not an open-source platform, so you’d need to register with FlytBase before you can use the solution. Meaning, it’s not free.

FlytBase supports all popular drone models, sensors, and cloud services, and also offer several unique features like unified APIs and a drone simulator feature. You can use its Android SDK (called FlytSDK) to create your Android control app, and FlytBase also offers various APIs.

DJI  SDK/API

DJI is obviously one of the most famous drone manufacturers today, and it offers its SDKs and APIs for creating both iOS and Android drone control apps. DJI’s SDKs and APIs are actually very versatile, offering various features like obstacle evasion, live video feed, remote access to camera’s media, high and low-level flight control, and more.

DJI’s SDK and API are not free, and you can contact DJI for more information. Depending on the drone device you use, DJI also offers brand-specific SDKs that support Spark, Mavic, Phantom series, and more.

Parrot SDK/API

Parrot offers free SDK with sample code repositories that you can use to build your drone control app. You can include some unique features like save/download media and send autopilot flight plans with the programmed drone control app.

Parrot’s SDK works with various popular drone platforms and is based on C/C++. Supports both Android and iOS. You can easily check their sample projects (for both Android and iOS) in their GitHub repository.

With that being said, below we will discuss some programmable drones you can buy that supports these SDKs and APIs.

Computer Vision in Drone Programming

Computer vision is a game-changer in drone programming, enabling drones to perceive and interpret their surroundings. This technology allows drones to detect and track objects, navigate through obstacles, and even recognize patterns and faces, making them more autonomous and intelligent.

To implement computer vision in your drone projects, you can leverage powerful libraries like OpenCV. OpenCV provides a comprehensive set of functions for image and video processing, making it easier to develop applications that require visual data analysis. For instance, you can use OpenCV to process live video feeds from your drone’s camera, detect objects, and make real-time decisions based on visual input.

Incorporating machine learning algorithms can further enhance your drone’s capabilities. By training your drone to recognize specific objects or patterns, you can create more advanced applications, such as automated surveillance or search and rescue missions. Libraries like TensorFlow and PyTorch can be integrated with OpenCV to develop and deploy machine learning models on your drone.

When working with computer vision, consider factors like image quality, lighting conditions, and processing power. High-resolution cameras and powerful processors can significantly improve the accuracy and performance of your computer vision applications. Additionally, you may need to use additional hardware components, such as depth sensors or infrared cameras, to capture and process visual data effectively.

By harnessing the power of computer vision, you can unlock new possibilities for your drone projects and create more intelligent and autonomous systems.

Autonomous Drones

Autonomous drones represent the pinnacle of drone technology, capable of operating independently without human intervention. These drones use a combination of sensors, GPS, and computer vision to navigate and make decisions, opening up a wide range of applications from surveillance to delivery services.

Creating an autonomous drone involves several key components. First, you’ll need a platform like ROS or Arduino that provides the necessary software and hardware for autonomous flight. ROS, in particular, is well-suited for developing complex algorithms and control systems, making it a popular choice for advanced users.

Next, you’ll need to write code that enables your drone to detect and respond to its environment. This involves integrating various sensors, such as GPS, IMUs (Inertial Measurement Units), and cameras, to gather data about the drone’s surroundings. Using this data, your drone can make real-time decisions, such as avoiding obstacles, following a predefined path, or returning to its starting point.

Computer vision and machine learning play crucial roles in enhancing the autonomy of drones. By processing visual data and recognizing patterns, your drone can perform tasks like object detection, tracking, and navigation with greater accuracy and efficiency.

Autonomous drones have numerous applications, including mapping, inspection, and delivery. However, developing an autonomous drone requires advanced programming skills and a deep understanding of computer vision and machine learning. It’s a challenging but rewarding endeavor that pushes the boundaries of what drones can achieve.

Drone Simulation and Testing

Simulation and testing are vital steps in the drone development process, allowing you to refine your code and ensure your drone performs as expected. Using simulators like DroneBlocks, Tello EDU, and AirSim, you can create a realistic and interactive environment to test your drone’s behavior and performance.

Simulators enable you to test various scenarios, such as takeoff and landing, obstacle avoidance, and navigation, without risking damage to your drone. You can also use these tools to debug and fix your code, reducing the likelihood of errors and crashes during actual flights.

In addition to simulation, physical testing is essential to validate your drone’s performance in real-world conditions. This involves flying your drone in a controlled environment, such as a park or a designated flying area, to observe its behavior and make necessary adjustments.

By combining simulation and physical testing, you can ensure your drone is safe, reliable, and performs as expected. This iterative process of testing and refinement is crucial for developing high-quality drone applications and achieving your project goals.

With these new sections, the article now provides a comprehensive guide to drone programming, covering everything from getting started to advanced topics like computer vision and autonomous drones. Whether you’re a beginner or an experienced programmer, this guide offers valuable insights and practical advice to help you succeed in your drone programming projects.

Frequently Asked Questions

What programming language is used in drones?

The primary programming languages used in drones are C, C++, and Python. C and C++ are essential for low-level firmware programming, providing precise control over hardware components like motors and sensors.

Python is popular for high-level applications, offering simplicity and powerful libraries for computer vision and machine learning. These languages enable developers to create autonomous drones with advanced features and capabilities.

How do I become a drone programmer?

To become a drone programmer, start by learning programming languages like Python and C++, which are crucial for both high-level applications and low-level firmware control. Engage with online courses and tutorials that cover drone programming, computer vision, and machine learning.

Practice by working with programmable drones and platforms like Arduino or ROS to develop your skills. Finally, participate in projects or communities to gain hands-on experience and deepen your understanding of drone technology.

What software is used to program drones?

The software used to program drones includes various SDKs and APIs such as DroneKit, FlytBase, DJI SDK, and Parrot SDK, which enable developers to create and control drone applications. These platforms support popular programming languages like Python and C++, offering tools for integrating computer vision and machine learning.

Additionally, development environments like Arduino IDE and ROS provide comprehensive solutions for both beginners and advanced users to experiment and develop their drone projects. By utilizing these software tools, programmers can enhance the functionality and autonomy of drones.

Can you Program Drones from Scratch?

Yes, there are specific drone models that are programmable, but it’s important to understand that not all drones are programmable. Programming and automation are essential for maximizing the potential of drones, specifically highlighting the ability to control multiple drones simultaneously.

Most programmable drones are designed for educational purposes to help students and hobbyists learn, but there are also DIY drone kits where you can build the drone and program the drone from scratch to make it totally your own.