Self Driving and ROS – Learn by Doing! Odometry & Control



Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters

What you will learn

Create a Real Self-Driving Robot

Mastering ROS, the Robot Operating System

Implement Sensor Fusion algorithms

Simulate a Self-Driving robot in Gazebo

Develop a Controller

Odometry and Localization

Kalman Filters and Extended Kalman Filter

Probability Theory

Differential Kinematics

Create a Digital Twin of a Self-Driving Robot

Master the TF library

Why take this course?


🚗 Self Driving and ROS – Learn by Doing!

🚀 Course Headline:
Dive into the world of autonomous systems with our comprehensive course on Self-Driving Robots, where you’ll master Robot Localization, Sensor Fusion using Kalman Filter, and more!


Are you ready to embark on an exciting journey into the realm of robotics? 🤖✨ If your answer is a resounding “Yes!”, then our course “Self Driving and ROS – Learn by Doing!” is tailor-made for you. This is where theory meets practice, and learning becomes an adventurous exploration.

Course Description:

Would you like to build a real Self-Driving Robot using ROS, the Robot Operating System? It’s your chance to get started with Autonomous Navigation of Robots and dive deep into the theoretical and practical aspects of Odometry and Localization, as taught by industry experts.

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📚 The Learning Philosophy:
Embrace the “Learn by Doing” approach! As Dale Carnegie famously said, “Learning is an active process. We learn best by leading a life of service and by using knowledge.” This course follows this philosophy, ensuring that you not only understand the concepts but also know how to apply them effectively in your projects and future job roles.


Course Structure:
Each section of this course is meticulously structured into three parts for a comprehensive learning experience:


  1. Theoretical Explanation: Gain a solid understanding of the concepts and functionalities of ROS from the ground up.
  2. Practical Example: Apply what you’ve learned in a simple, controlled environment to reinforce your knowledge.
  3. Real Robot Application: Transition your skills to work on a real robot, putting into practice all the theories and techniques discussed.

But wait, there’s more! 🎁

  • All programming lessons are designed to be bilingual, using both Python and C++, catering to your preference or helping you become an expert in both languages.
  • Engage with the latest advancements in robotics software development.
  • Gain a deeper understanding of self-driving robots and ROS, which are in high demand across various industries.

By completing this course, you’ll be equipped with the skills and knowledge to thrive in the dynamic field of robotics. Whether you aspire to contribute to autonomous vehicle technology or simply want to push the boundaries of what robots can do, this course will set you on the path to success. 🛠️🚀

Join us now and transform your passion for robotics into a skillset that’s as robust as it is in-demand. Let’s get started! 🎉👩‍💻🧙‍♂️

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