Introduction to Autonomous Mobile Robots: Navigation and Control

How do self-driving vehicles and warehouse robots navigate complex, real-world environments without human intervention? Understanding autonomous mobile robots requires a solid grasp of how machines move, perceive their surroundings, and make intelligent decisions. This text-based course guides you through the fundamental principles of robotics, from basic kinematics to advanced path-planning algorithms. You will transition from a curious beginner to a knowledgeable practitioner capable of analyzing and designing navigational logic for mobile systems. By studying the core mathematical and algorithmic frameworks, you will understand how robots map their environments, localize themselves, and safely navigate from point A to point B. What you'll learn: * Understand the foundational concepts of robotic kinematics and locomotion models * Explore sensor technologies and perception algorithms used for environmental mapping * Learn the mechanics of localization and modern SLAM (Simultaneous Localization and Mapping) techniques * Apply path-planning and obstacle-avoidance algorithms to guide robot movement * Analyze modern industry standards, including basic concepts of ROS 2 (Robot Operating System) * Practice solving algorithmic navigation challenges through structured written exercises The course begins with essential terminology and the physical mechanics of robot movement. From there, you will progress through sensor integration, localization strategies, and intelligent path-planning techniques, building a complete conceptual framework of autonomous systems. This course is designed for aspiring roboticists, software developers, and engineering students who are new to mobile robotics and want a solid theoretical and algorithmic foundation. No prior robotics experience is required, though a basic understanding of mathematics and programming concepts is helpful. Start reading today to unlock the core principles of autonomous robotic navigation.