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Self Driving and ROS 2 - Learn by Doing! Map & Localization

Create a ROS2 Self-Driving robot with Python and C++. Master Robot Localization, Mapping and SLAM

     
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₹649

This Course Includes

  • iconudemy
  • icon4.7 (347 reviews )
  • icon25h 9m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Self Driving and ROS 2 - Learn by Doing! Map & Localization

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 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 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.

What You Will Learn?

  • Create a Real Self-Driving Robot .
  • Master ROS2, the latest 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 Show moreShow less.