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

Description

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 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, which will open up opportunities for you in the exciting field of robotics.

Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!

Ask about this course