Self Driving and ROS 2 – Learn by Doing! Odometry & Control

Self Driving and ROS 2 – Learn by Doing! Odometry & Control
2025-04-17
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Create a ROS2 Self-Driving robot with Python and C++. Master Odometry, Control 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
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

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