Self Driving and ROS 2 - Learn by Doing! Plan & Navigation
Self Driving and ROS 2 - Learn by Doing! Plan & Navigation
Create a ROS2 Self-Driving robot with Python and C++. Master Navigation, Planning and Decision Making with Behavior Tree
What you'll learn
- Create a Real Robot, powered by ROS 2
- Mastering ROS2, the last version of the Robot Operating System
- Robotics Theory
- Implement Path Planning algorithms
- Implement Motion planning algorithms
- Create Advanced Navigation logics using Behavior Trees
- Simulate a Self-Driving robot in Gazebo
- Programming Arduino for Robotics Applications
- Master Nav2
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?
Would you like to get started with Autonomous Navigation of robots and dive into the theoretical and practical aspects of Navigation, Path Planning, and decision-making using Behavior Trees 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.
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