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Arduino Robotics Course
More than 2 million learners worldwide

Arduino Robotics Course

Build a fully autonomous robot from the ground up using Arduino — no prior experience required. This course takes you from basic electronics and C++ programming all the way to PID control, wireless communication, and sensor fusion. Every concept is applied directly to hardware you assemble and program yourself.

Dedika for businesses

What you will learn:

You will start with core electronics and Arduino programming, then move into reading real sensors like ultrasonic and IMU modules. You will wire and control DC motors, servos, and stepper motors using proper driver circuits. From there, you will assemble a complete two-wheeled robot chassis and program autonomous behaviours including line following and obstacle avoidance. You will implement PID controllers, finite state machines, and encoder-based odometry. The course also covers Bluetooth, IR, and Wi-Fi control so your robot can receive commands wirelessly. You will finish with a capstone project that brings every skill together into a documented, portfolio-ready build.

How you study in practice Arduino Robotics Course

How you practise Arduino Robotics Course

For companies looking to train their teams

With Dedika for Businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.

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Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to Arduino and Electronics

  • Lesson 1 • Setting Up the Development Environment

    Installs and configures the Arduino IDE for code upload and serial monitoring. Connects the workflow from code editor to physical board.

  • Lesson 2 • Core Electronics Concepts

    Covers voltage, current, resistance, and Ohm's Law as applied to Arduino circuits. Establishes the electrical vocabulary used throughout the course.

  • Lesson 3 • Arduino Hardware Overview

    Identifies the Uno board's pins, ports, and power rails. Students map each physical component to its functional role in a robot system.

  • Lesson 4 • Breadboard Prototyping Fundamentals

    Teaches breadboard layout, jumper wiring, and safe component insertion. Students build and test a simple LED circuit without soldering.

Chapter 2See details

Arduino Programming Essentials

  • Lesson 1 • Sketch Structure and Data Types

    Explains setup(), loop(), and variable declarations in Arduino C++. Anchors all subsequent programming work in correct sketch architecture.

  • Lesson 2 • Functions and Modular Code

    Teaches function declaration, parameters, and return values to organise code. Reduces repetition and prepares students for multi-file robot programs.

  • Lesson 3 • Control Flow and Logic

    Covers if/else, for, while, and switch statements for decision-making. Enables conditional hardware responses based on sensor or timer values.

  • Lesson 4 • Timing and Interrupts

    Uses millis(), micros(), and hardware interrupts for non-blocking time control. Enables precise event-driven behaviour in robot programs.

  • Lesson 5 • Digital and Analog I/O Programming

    Programs pinMode(), digitalRead/Write(), and analogRead/Write() to interact with hardware. Directly applies programming skills to physical pin control.

Chapter 3See details

Sensors and Signal Processing

  • Lesson 1 • Signal Filtering Techniques

    Applies moving average, low-pass, and median filters to noisy sensor streams. Improves reliability of all sensor-driven robot behaviours.

  • Lesson 2 • Inertial Measurement Units

    Reads accelerometer and gyroscope data over I2C from an MPU-6050. Establishes orientation sensing needed for balancing and heading control.

  • Lesson 3 • Serial and I2C Communication Protocols

    Configures UART Serial and I2C buses to connect sensors and peripherals. Prepares students for multi-device robot architectures in later chapters.

  • Lesson 4 • Infrared Line and Proximity Sensors

    Reads analog and digital IR sensors for line-following and edge detection. Introduces threshold calibration for varying surface reflectivity.

  • Lesson 5 • Ultrasonic Distance Sensing

    Wires and programs an HC-SR04 sensor using trigger/echo timing. Provides the primary obstacle-detection input for navigation chapters.

Chapter 4See details

Motor Control and Actuation

  • Lesson 1 • Servo Motor Control

    Uses the Servo library to position standard and continuous-rotation servos. Adds pan-tilt sensor mounts and gripper actuation to the robot.

  • Lesson 2 • DC Motor Fundamentals

    Explains back-EMF, stall current, and motor ratings relevant to robot drive trains. Prevents component damage and informs driver selection.

  • Lesson 3 • H-Bridge Motor Drivers

    Wires and programs an L298N or L293D H-bridge for bidirectional DC motor control. Enables forward, reverse, and speed control via PWM signals.

  • Lesson 4 • Stepper Motor Basics

    Drives a stepper motor with a ULN2003 or A4988 driver for precise angular positioning. Introduces step modes and acceleration profiles.

  • Lesson 5 • PWM Speed and Direction Tuning

    Calibrates PWM values to achieve matched wheel speeds and straight-line motion. Directly prepares the chassis for navigation algorithms.

Chapter 5See details

Robot Chassis Assembly and Integration

  • Lesson 1 • System Integration Testing

    Runs subsystem checks and full-system smoke tests before autonomous code. Establishes a repeatable debug workflow for hardware faults.

  • Lesson 2 • Power System Design

    Selects batteries, voltage regulators, and fusing for safe robot power delivery. Separates logic and motor power to prevent microcontroller resets.

  • Lesson 3 • Wiring Harness and Cable Management

    Routes and secures wiring to prevent shorts, strain, and interference. Produces a maintainable robot that survives repeated testing cycles.

  • Lesson 4 • Sensor Mounting and Field of View

    Positions ultrasonic, IR, and IMU sensors for optimal detection coverage. Aligns physical placement with software assumptions in later chapters.

  • Lesson 5 • Chassis Design and Selection

    Evaluates chassis geometry, wheel base, and material for stability and payload. Guides component placement decisions that affect centre of gravity.

Chapter 6See details

Autonomous Navigation Algorithms

  • Lesson 1 • Encoder-Based Odometry

    Uses wheel encoder pulses to estimate position and heading on a flat surface. Enables dead-reckoning navigation between waypoints.

  • Lesson 2 • PID Control for Robot Motion

    Implements a full PID controller for heading and speed regulation. Elevates line-following and obstacle avoidance to smooth, stable performance.

  • Lesson 3 • Obstacle Avoidance Strategies

    Implements wall-following and reactive avoidance using ultrasonic sensor data. Applies motor control and sensor reading skills in a unified behaviour.

  • Lesson 4 • Line-Following Control

    Programs proportional control over IR sensor arrays for smooth line tracking. Introduces feedback control concepts applied to a physical robot.

  • Lesson 5 • Finite State Machine Navigation

    Structures robot behaviour as explicit states and transitions for reliable autonomy. Replaces ad hoc if/else logic with a scalable architecture.

Chapter 7See details

Wireless Communication and Remote Control

  • Lesson 1 • Telemetry Logging and Visualization

    Streams sensor and state data to a host computer for real-time plotting. Supports tuning and debugging of autonomous algorithms remotely.

  • Lesson 2 • Wi-Fi Control with ESP8266

    Connects an ESP8266 module to a local network and serves a web control page. Introduces TCP/IP concepts in the context of robot teleoperation.

  • Lesson 3 • IR Remote Control Integration

    Decodes NEC-protocol IR signals to map remote buttons to robot commands. Provides a simple wireless interface before introducing RF modules.

  • Lesson 4 • Bluetooth Serial Communication

    Pairs an HC-05 module with a smartphone app to send ASCII commands over UART. Enables real-time manual override and telemetry display.

Chapter 8See details

Advanced Robot Projects and Optimization

  • Lesson 1 • Memory and Performance Optimization

    Reduces SRAM and flash usage through data type choices and code restructuring. Prevents memory-related crashes in complex robot programs.

  • Lesson 2 • Capstone Build and Iteration

    Assembles, programs, and iteratively tests the capstone robot against defined criteria. Applies the full engineering design cycle in a single project.

  • Lesson 3 • Code Documentation and Handoff

    Writes inline comments, README files, and wiring diagrams for project handoff. Produces professional documentation standards expected in team environments.

  • Lesson 4 • Project Planning and Requirements

    Defines project scope, success criteria, and a build schedule using engineering documentation practices. Translates a robot concept into actionable tasks.

  • Lesson 5 • Multi-Sensor Fusion

    Combines ultrasonic, IR, and IMU data into a unified world model for robust decisions. Demonstrates how sensor fusion improves autonomy reliability.

Certification

Your valid completion certificate

This course is for you:

  • Hobbyist makers: eager to move beyond blinking LEDs into real robotics.

  • Mechanical engineering students: wanting hands-on embedded programming and electronics exposure.

  • Career changers: transitioning into robotics or automation from unrelated technical fields.

  • High school STEM teachers: looking to bring physical computing projects into their classrooms.

  • Software developers: curious about applying coding skills to physical, sensor-driven machines.

  • Electronics enthusiasts: ready to combine circuit knowledge with autonomous robot behaviour.

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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