Published 9/2023
Created by Antonio Brandi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 138 Lectures ( 20h 51m ) | Size: 9.1 GB
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 ROS2, the last version of the Robot Operating System
Implement Sensor Fusion algorithms
Simulate a Self-Driving robot in Gazebo
Programming Arduino for Robotics Applications
Use the ros2_control library
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 TF2 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 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 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.
Who this course is for
Self-Driving enthusiast
Makers and Hobbists keen on robotics
Software developers taht wants to learn ROS 2 and Robotics
Students or Engineers that wants to learn how to buid a robot from scratch
Developers that already knows ROS 2 and that want to use it in a real world application
ROS Developers that want to learn and migrate to ROS 2
Robotics Engineers that wants to develop skills in Autonomous Navigation
Beginner Python developers curious about Self-Driving
Beginner C++ developers curious about Self-Driving
Password/解压密码www.tbtos.com转载请注明：0daytown » Self Driving and ROS 2 – Learn by Doing! Odometry & Control