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Free Download Building an AI Robot Car with ROS2, Raspberry Pi and Arduino
Published 8/2026
Created by Felipe Tambasco
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 34 Lectures ( 5h 32m ) | Size: 7 GB
Design, build, and program an autonomous robot car using ROS2, Raspberry Pi, and Arduino - from wiring to navigation.
What you'll learn
Build a fully functional AI-powered robot car using ROS2, Raspberry Pi 5, and Arduino Uno Program microcontroller-level control with Arduino and integrate it into a ROS2 software stack Implement a computer vision engine with face recognition Apply engineering trade-offs, project organization, and systematic testing to a multi-component robotics projectRequirements
Basic Python programming knowledge. Basic familiarity with Ubuntu and ROS2 A Raspberry Pi 5 (running Ubuntu), an Arduino Uno (or similar microcontroller), a 4 wheels robot frame and 2 L298N motor drivers. Basic mechanics and electronics components (jumper wires, screws, screwdriver, multimeter). A power bank and 9V batteries. Optional: 7 inches LCD screen with speakers.Description
This course teaches you how to build a fully functional AI-powered robot car from the ground up using ROS2, Claude, Raspberry Pi 5, and Arduino Uno.
You'll learn how to design the hardware architecture, wire motors, program microcontroller-level control with Arduino, and integrate everything into a ROS2 software stack running on a Raspberry Pi 5.
The robot operates in three distinct modes - explore, patrol, and hide-and-seek - built on behavior-based robotics principles. Each mode combines simple behaviors into more complex, purposeful actions.
The autonomous navigation uses a usb camera to perceive its surroundings, handled by a lightweight yet robust obstacle avoidance module that keeps the robot moving safely through unpredictable environments.
This course also teaches you how to think like an engineer - making trade-offs between cost, performance, and complexity, organizing a multi-component project, and systematically testing each subsystem before integrating it into the full robot.
By the end of the course, you will have built a working robot car capable of exploring its environment and navigating autonomously, you will understand how to apply ROS2 concepts to real-world robotics projects and you'll have the practical skills to design, build, and program your own autonomous robot from scratch, ready to extend it further.
Safety disclaimer: Working with electronics, mechanics, and power supplies carries inherent risks. Always follow proper safety precautions, double-check your wiring before powering on any component, and work at your own risk. The instructor is not responsible for any damage, injury, or loss resulting from following this course.
Additional costs disclaimer: This course involves using the Claude and OpenAI APIs, which may incur usage costs charged by Anthropic and OpenAI respectively. You are responsible for any charges associated with your API usage.
Who this course is for
Beginner to intermediate makers, hobbyists, and students who want hands-on experience building a real robot with ROS2, Raspberry Pi, and Arduino Electronics or computer science students looking to apply classroom concepts to a physical robotics project Software developers who want to learn embedded systems, hardware integration, and robotics Robotics enthusiasts who want to learn behavior-based robotics and autonomous navigationHomepage
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