Self Driving and ROS 2 - Learn by Doing! Map & Localization

<div>Would you like to build a real Self-Driving Robot using ROS2, the second and last version of the Robot Operating System, by building a real robot?</div><div><br></div><div><span style="font-size: 1rem;">Would you like to get started with Autonomous Navigation of robots and dive into the theoretical and practical aspects of Localization, Mapping, and SLAM from industry experts?</span></div><div><br></div><div><span style="font-size: 1rem;">The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie</span></div><div><br></div><div>Learning is an Active Process. We learn by doing; only knowledge that is used sticks in your mind.</div><div><br></div><div>In order for you to master the concepts covered in this course and use them in your projects and also in your future job, I will guide you through the learning of all the functionalities of ROS, both from a theoretical and practical point of view.</div><div><br></div><div><span style="font-size: 1rem;">Each section is composed of three parts:</span></div><div><ul><li><span style="font-size: 1rem;">Theoretical explanation of the concept and functionality</span></li><li><span style="font-size: 1rem;">Usage of the concept in a simple Practical example</span></li><li><span style="font-size: 1rem;">Application of the functionality in a real Robot</span></li></ul></div><div><span style="font-size: 1rem;">There is more!</span></div><div><br></div><div>All the programming lessons are developed using both Python and C++. This means that you can choose the language you are most familiar with or become an expert Robotics Software Developer in both programming languages!</div><div><br></div><div>By taking this course, you will gain a deeper understanding of self-driving robots and ROS 2, which will open up opportunities for you in the exciting field of robotics.</div>

What you'll learn:

• Create a Real Self-Driving Robot
• Master ROS2, the latest version of the Robot Operating System
• Implement Mapping algorithms
• Implement Localization algorithms
• Implement SLAM algorithms
• Simulate a Self-Driving robot in Gazebo
• Programming Arduino for Robotics Applications
• Master Nav2
• Probability Theory
• Use Laser Sensors for real-world applications
• Master the slam_toolbox library