BUY NOW
Description
Self Driving and ROS 2 – Learn by Doing! Map & Localization is a ROS2-based self-driving robot training course published by Yodemy Online Academy. Building an autonomous robot using ROS2 (Robot Operating System 2) involves integrating various robotic components such as sensors, actuators, and algorithms to enable autonomous navigation and decision-making. ROS2 provides a flexible and scalable framework for developing complex robotic systems with advanced real-time communication capabilities. Using the capabilities of ROS2 and following a structured development process, you can build a robust and scalable autonomous robotic system suitable for a variety of applications, from research and development to practical deployment in real-world scenarios.
In this training course, you will get to know all topics and subjects of ROS2-based self-driving robot and you will be able to use them to build your own ROS2-based self-driving robot. During this training course, you will encounter a variety of exercises and practical projects that will help you gain practical experience in building an autonomous robot based on ROS2. All programming parts are developed using Python and C++. This means you can choose the language you are most familiar with or become an expert robotics software developer in both programming languages!
What is in the Self Driving and ROS 2 training course - Learn by Doing! You will learn Map & Localization:
- Building a real self-driving robot
- Implementation of mapping algorithms
- Implementation of SLAM algorithms
- Arduino programming for robotics applications
- Using laser sensors
- And …
Course details
Publisher: Yodmi
Instructor: Antonio Brandi
Language: English
Level of training: introductory to advanced
Number of lessons: 140
Duration of training: 22 hours and 5 minutes
Course headings
Self Driving and ROS 2 course prerequisites – Learn by Doing! Map & Localization
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
BUY NOW
