This MATLAB Robotics course offers a complete guide to modeling, simulating, and controlling robotic systems. Starting with walking robots, you’ll learn pattern generation, humanoid walking, and deep reinforcement learning techniques to optimize robot movement. The course then explores mobile robots and robot swarms, teaching you how to simulate complex behaviors and control multi-agent systems efficiently.

You will also study robot manipulators, covering joint control, trajectory planning, and algorithm design for industrial applications. Advanced lessons focus on underwater vehicles, including system identification, LQR control, and real-time simulation, giving you the tools to work with autonomous aquatic robots. Practical examples of pneumatic actuators, robot throwing mechanisms, and line-following robots using STM32 illustrate hands-on application of MATLAB and Simulink in robotics projects.

By the end of this course, you will have a strong foundation in robotic system modeling, control design, and algorithm implementation. It’s ideal for students, engineers, and robotics enthusiasts seeking to apply