Mobile Robotics Fundamentals: Odometry and Reactive Behaviors

Building autonomous mobile robots requires a solid understanding of how machines perceive, calculate, and move through their environments. This course introduces you to the core principles of robotic motion, sensor integration, and behavioral programming without requiring expensive hardware. You will progress from foundational theory to writing robust control logic for mobile robots. You will understand how to calculate a robot's position using odometry, program reactive behaviors like collision avoidance and line following, and structure robotic decision-making using systematic state machines. What you'll learn: - Understand the fundamental mechanics of differential drive robots and non-holonomic systems. - Calculate precise robot positioning using forward kinematics and odometry equations. - Program reactive behaviors such as obstacle detection, collision avoidance, and line following. - Design structured robotic decision-making processes using finite state machines. - Configure sensors and actuators within a physics-based simulation environment. - Apply modern clean-code practices in Python to structure robotic control loops. The course begins with foundational concepts of robotic hardware and kinematics before guiding you through step-by-step written tutorials on sensor integration and motion algorithms. You will explore practical logic design and simulation techniques that prepare you for real-world robotics development. This course is designed for aspiring robotics engineers, software developers, and students who want a structured, beginner-friendly introduction to mobile robot programming. No prior robotics experience is required, though a basic understanding of programming concepts is helpful. Start reading today to build your foundational skills in autonomous systems and robotic control.