Introduction
Robotics is one of the most exciting and rapidly growing fields of modern engineering. Ten years ago, to build your first robot, you had to study thick textbooks on circuit design, understand microcontroller programming, and spend hours debugging. Today, thanks to artificial intelligence technologies, entering the world of robotics from scratch has become accessible to anyone willing to learn. The course "Robotics from Scratch" on the ASI Biont platform uses AI to generate personalized lessons, allowing you to quickly move from theory to practice—from studying sensors and motors to assembling a fully autonomous device.
If you dream of creating your own robot but don't know where to start, this material is for you. We'll break down the key components: Arduino, Raspberry Pi, ROS, circuit design, and microcontroller programming. Learn how an AI assistant accelerates learning and why the complete robotics course on ASI Biont is your ticket to the world of mechatronics without unnecessary costs.
How AI Helps in Learning Robotics
Artificial intelligence is changing the approach to education. On the ASI Biont platform, AI doesn't just select theory—it generates educational materials in real time, adapting them to your level. For example, if you're just starting, AI will explain what a PWM signal is and how to connect a servo motor to an Arduino. If you're already familiar with the basics, the system will offer more complex tasks—like writing a sketch to control a wheeled base using ROS.
Key advantages of learning with AI:
- Personalization: each lesson is built around your progress.
- Interactivity: you don't just read—you immediately apply knowledge in practice.
- No video dependency: all materials are text-based, convenient for quick searching and review.
Important: AI doesn't answer in a chat 24/7—it creates content that guides you from simple to complex. This is an ideal tool for self-study of robotics from scratch.
Where to Start: Arduino and Raspberry Pi
The first steps in robotics usually begin with choosing a platform. The two main candidates are Arduino and Raspberry Pi. They solve different tasks, and understanding their differences is the foundation of success.
| Parameter | Arduino | Raspberry Pi |
|---|---|---|
| Type | Microcontroller | Single-board computer |
| Programming Language | C/C++ (Arduino IDE) | Python, C++, Scratch |
| Tasks | Motor control, sensor reading | Data processing, running ROS, computer vision |
| Difficulty for Beginners | Low | Medium |
Arduino is ideal for controlling actuators: motors, servos, LEDs. Raspberry Pi is the robot's brain, capable of processing camera images, building maps, and communicating with other devices via Wi-Fi.
On the ASI Biont course, you'll study both platforms. AI will suggest which component to choose for a specific task—for example, how to connect Arduino and Raspberry Pi via UART for data exchange.
Circuit Design and Microcontroller Programming
For a robot to move, you need to understand how electrical circuits work. Circuit design is the foundation: without it, even the best code won't make the wheels spin. On the course, you'll learn:
- How to read schematic diagrams and prototype on a breadboard.
- How to select resistors for LEDs and transistors for motor control.
- How to use an H-bridge for motor reversal.
Microcontroller programming is the second pillar. You'll master:
- Digital and analog inputs/outputs.
- Working with timers and interrupts.
- Libraries for sensors: ultrasonic (HC-SR04), infrared, gyroscopes (MPU6050).
Practical example: Suppose you want to build a robot that avoids obstacles. AI will generate a lesson that step-by-step describes: how to connect an ultrasonic sensor to an Arduino, write code to measure distance, and program the motors to turn when a wall is detected.
ROS: The Operating System for Robots
When your robot
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