Robotics for Beginners: From Sensors to Motion MTA
A friendly introduction to building and programming robots using open-source tools

About this book:

*Robotics for Beginners: From Sensors to Motion* is a comprehensive technical guide designed to transition hobbyists and students from basic electronic concepts to the development of fully autonomous mobile robots. The book anchors its pedagogy in the "sense-think-act" loop, systematically breaking down how a robot gathers environmental data, processes it through software logic, and translates those decisions into physical movement. Using a "simulation-first" philosophy, the author encourages readers to master open-source tools—specifically Linux, Python, and ROS 2—within virtual environments like Gazebo and RViz before committing to physical hardware.

The first half of the book focuses on the fundamental building blocks of robotics hardware and low-level control. It covers the electrical essentials of power management and safety, the distinct roles of microcontrollers (Arduino, ESP32) versus single-board computers (Raspberry Pi), and the mechanics of various sensors and actuators. Readers learn the practical physics of DC motors, servos, and steppers, alongside the mathematical frameworks of differential and Ackermann drive kinematics. This section culminates in the implementation of PID controllers and sensor fusion techniques, such as Complementary and Kalman filters, to ensure precise and stable robot motion.

The second half of the text introduces the ROS 2 (Robot Operating System) framework, which serves as the middleware for complex robot communication. The book details the architecture of nodes, topics, services, and actions, providing a modular approach to software design. Advanced chapters guide the reader through sophisticated perception tasks, including computer vision with OpenCV, 2D Laser SLAM (Simultaneous Localization and Mapping), and autonomous navigation using the Nav2 stack. The text also touches upon robotic manipulation through simple arm kinematics and the design of high-level decision-making structures using state machines and behavior trees.

The book concludes with a capstone project that integrates these diverse disciplines into a single autonomous agent. By combining path planning, obstacle avoidance, and object manipulation, the final project demonstrates how a robot can independently navigate a mapped environment to perform a specific task. Throughout the journey, the author emphasizes professional habits such as version control with Git, systematic debugging, and performance tuning, ultimately aiming to transform the reader from a novice into a capable roboticist ready for real-world application.

What You'll Find Inside:

• Learn the core sense-think-act loop that defines robotic behavior and how to implement it with sensors, processors, and actuators.
• Master essential open-source tools: Linux for robotics-grade OS, Python for approachable programming, and Git for version control and collaboration.
• Explore hardware options from microcontrollers (Arduino, ESP32) to single-board computers (Raspberry Pi) and how to combine them for effective robot control.
• Build practical skills in power management, wiring, sensor integration, motor control, and PID feedback to create reliable robot movement.
• Gain hands-on experience with ROS 2 for modular robot software, simulation (RViz/Gazebo), SLAM-based navigation, and a capstone autonomous robot project.

Who's It For:

This book is designed for absolute beginners in robotics—students exploring STEM for the first time, hobbyists with a curiosity about building robots, and makers who want a practical, project-based introduction. No advanced background is required beyond basic algebra and a willingness to learn; the text guides readers from software simulations to tangible hardware using low-cost, widely available components and open-source frameworks. By the end, readers will have built and programmed a small autonomous robot and acquired the foundational skills to continue learning and creating more complex robotic systems.