Self Driving and ROS 2 - Learn by Doing! Odometry & Control
What you'll learn
- Create a Real Self-Driving Robot
- Mastering ROS2, the latest version of the Robot Operating System
- Implement Sensor Fusion algorithms
- Simulate a Self-Driving robot in Gazebo
- Programming Arduino for Robotics Applications
- Use the ros2_control library
- 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 TF2 library
Requirements
- Basic knowledge of Python or C++
- Basic knowledge of Linux
- No prior knowledge of ROS or ROS 2 required
- No prior knowledge of Robotics theory required
- No hardware required. All the course can be followed also using only the PC
Description
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 Odometry and Control 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 a 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 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!
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.
Who this course is for:
- Self-Driving enthusiast
- Makers and Hobbists keen on robotics
- Software developers who want to learn ROS 2 and Robotics
- Students or Engineers who want to learn how to build a robot from scratch
- Developers who already know ROS 2 and who want to use it in a real-world application
- ROS Developers who want to learn and migrate to ROS 2
- Robotics Engineers who want to develop skills in Autonomous Navigation
- Beginner Python developers curious about Self-Driving
- Beginner C++ developers curious about Self-Driving
Instructor
- 4.6 Instructor Rating
- 2,070 Reviews
- 15,732 Students
- 7 Courses
Hey, I'm Antonio Brandi and I'm glad you are here!
I am a Robotics Engineer specialized in Autonomous Navigation for Robot applications with several years of experience working with ROS and mobile robots both for industrial and commercial applications.
Actually I'm working with the brightest minds in the field of ROS and Robotics at Pal Robotics.
Despite having an Engineering background, I'm a ROS self learner and I know how tough and demotivating it can be rushing through all the concepts and documentations. Furthermore, I genuinely think that the best way to learn something is to scratch your head and build something real that you can interact and play with.
That's why my courses will handle both the required theoretical background and its implementation in the real world!
Remember to have fun and experimenting while learning