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

Udemy
Deal Score+3
Deal Score+3
9.6Expert Score
9.6/10

Self Driving and ROS – Learn by Doing! Odometry & Control Course by Antonio Brandi on Udemy. Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters

Udemy Coupon for Self-Driving and ROS – Learn by Doing! Odometry & Control. Find Out Other Autonomous Cars Courses and Tutorials from Udemy Learning with Discount Coupon Codes. Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters

Course 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 Self-Driving and ROS – Learn by Doing! Odometry & Control 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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ROS2 for Beginners Level 3 – Advanced Concepts

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Get Your ROS 2 Skills to the Next Level – ROS2 Actions, Lifecycle Nodes, Executors, Components, and More.

Welcome to ROS2 for Beginners Level 3 – Advanced Concepts course. I still remember when I first learned ROS2. Understanding the basic concepts was already super hard, but then when diving into the more intermediate/advanced stuff, I really understood what the word “frustration” means. It was so hard to find valuable information and then to make sense of all of it. In the end, it took me a lot of trial and error. Now that I understand and use those concepts, I just created the course I wish I had at the beginning, so that you can save a lot of time, and learn without frustration.

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
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