Robot Control Foundations: Planning for Manipulators and Mobile Robots

Robotics is transforming industries, but building intelligent machines requires a deep understanding of how they move and interact with their environment. If you want to bridge the gap between physical hardware and computational control, mastering robot kinematics and motion planning is your essential first step. This text-only course guides you through the core principles of robot control and trajectory planning. You will transition from understanding basic mechanical joints to writing control algorithms for both stationary manipulators and wheeled mobile robots, gaining a clear framework for how physical robots are programmed to execute precise tasks. What you'll learn: - Understand foundational robotics terminology, coordinate transformations, and kinematic modeling. - Calculate forward and inverse kinematics for multi-jointed robot manipulators. - Design trajectory planning algorithms to ensure smooth, collision-free robot motion. - Apply feedback control laws, including PID controllers, to regulate robot joint positions. - Explore control paradigms for mobile robots, including differential drive systems and path planning. - Analyze modern robotics software architecture concepts and middleware communication patterns. The course begins with core definitions and the mathematics of spatial representation, then moves systematically through kinematics, dynamics, and practical feedback control. You will study code-based algorithms and mathematical models designed to build a strong foundation in modern robotics engineering. This course is designed for beginners, aspiring robotics engineers, and software developers looking to understand the mechanics of robot motion. No prior robotics experience is required, though a basic comfort with algebra and programming logic is helpful. Start reading today to unlock the fundamental engineering principles that drive modern robotic systems.