What you'll learn:
- Create a Real Self-Driving Robot
- Master ROS2, the last 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
Would you like to build a real Self-Driving Robot using ROS2, the second and last version of Robot Operating System by building a real robot?
Would you like to get started with Autonomous Navigation of Robot and dive into the theoretical and practical aspects of Localization, Mapping and SLAM from industry experts?
The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie
Learning is an Active Process. We learn by doing, only knowledge that is used sticks in your mind.
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 the theoretical and practical point of view.
Each section is composed of three parts:
Theoretical explanation of the concept and functionality
Usage of the concept in a simple Practical example
Application of the functionality in a real Robot
There is more!
All the programming lessons are developed both using 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!
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.
