Introduction to Robotics and Kinematics

Robotics is transforming manufacturing, healthcare, and logistics, but building or programming a robot requires a solid grasp of underlying mathematical and physical principles. This course provides a clear, structured path to understanding how robots move, perceive, and interact with the world around them. You will transition from basic concepts of mechanics to writing and analyzing algorithms that control robot behavior. Starting with fundamental coordinate transformations, you will learn to model robotic arms and mobile platforms. We also cover modern trends, including basic machine learning applications in robotics and obstacle-avoidance path planning. What you'll learn: - Understand the core terminology, coordinate frames, and foundational mathematics of robotics - Calculate forward and inverse kinematics for multi-jointed robotic arms - Model robot dynamics and joint velocities using the Jacobian matrix - Configure feedback control loops to ensure precise robotic movement and stability - Analyze path planning algorithms for navigating environments with obstacles - Explore modern trends, including sensor fusion basics and reinforcement learning in robotics This course begins with essential terminology, mathematical prerequisites, and physical laws before guiding you through kinematic equations and control systems. It is designed for beginners, engineering students, and software developers looking to enter the field of robotics, requiring no prior experience in the subject. Start reading today to build your foundational knowledge of robotics engineering.