Robot Modeling, Simulation, and Control with ROS 2

Robot modeling, simulation, and control are critical skills for developing intelligent and reliable robotic systems. This course focuses on using ROS 2 to design, simulate, and control robots, enabling developers to build and test complex robotic workflows in realistic environments. You will learn how to create 3D robot models, simulate their behavior, and implement control systems using industry-standard ROS 2 tools. The course guides you through navigation, manipulation, and perception workflows, helping you gain hands-on experience with real-world robotics applications. What makes this course unique is its end-to-end approach, combining modeling, simulation, control, and advanced frameworks like behavior trees. It bridges theory with practical implementation using widely adopted ROS 2 ecosystems. This course is ideal for robotics developers, engineers, and intermediate learners familiar with ROS basics. Prior knowledge of ROS 2 fundamentals and programming in Python or C++ is recommended. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.