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

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

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'll 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

Would you like to build a real Self-Driving Robot using ROS,  the Robot Operating System?



Would you like to get started with Autonomous Navigation of Robot and dive into the theoretical and practical aspects of Odometry and Localization 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 throught the learning of all the functionalities of ROS both from the theoretical and practical point of view.



Each section is composed od 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 progremming languages!



By taking this course, you will gain a deeper understanding of self-driving robots and ROS, 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 taht wants to learn ROS and Robotics
  • Students or Engineers that wants to learn how to buid a robot from scratch
  • Developers that already knows ROS and that want to use it in a real world application
  • Robotics Engineers that wants to develop skills in Autonomous Navigation
  • Beginner Python developers curious about Self-Driving
  • Beginner C++ developers curious about Self-Driving

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