Published 6/2024
Created by Antonio Brandi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 140 Lectures ( 22h 5m ) | Size: 12.1 GB
Create a ROS2 based Self-Driving robot and learn about Localization, Mapping and SLAM
What you’ll learn:
Create a Real Self-Driving Robot
Master ROS2, the last 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
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 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 the theoretical and practical point of view.Each section is composed of three parts:Theoretical explanation of the concept and functionalityUsage of the concept in a simple Practical exampleApplication of the functionality in a real RobotThere 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 2, which will open up opportunities for you in the exciting field of robotics.
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