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    ROS for Beginners II: Localization, Navigation and SLAM

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    ROS for Beginners II: Localization, Navigation and SLAM - Online Course Download
    ROS for Beginners II: Localization, Navigation and SLAM - Online Course Download
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    Engineering free online course free udemy paid course freecourse freecoursesite Robot Operating System (ROS) Teaching & Academics udemy course download udemy free download

    What you'll learn :

    Theoretical foundations of 2D and 3D localization
    Transformation between frames in 2D and 3D Spaces
    The powerful feature of the tf package to represent frames and perform transformation and localization
    Theoretical foundation of localization and mapping (SLAM)
    Background on navigation concepts (global path planning, local path planning, collision avoidance)
    Difference between Map-Based Navigation and Reactive Navigation
    The navigation stack of ROS (move_base, amcl, gmapping)

    Requirements :

    Prior knowledge of the basic concepts of the Robot Operating System (ROS) (required)
    Knowledge in C++ and/or Python Programming language
    Background on the concepts of Linear Algebra, Trigonometry, and Geometry
    Want to learn ROS
    Eager to learn robotics navigation

    Description :

    UPDATE

    OCT 9, 2020: I added the installation instruction of Turtlebot3 on ROS Noetic

    Overview

    Localization, mapping, and navigation are fundamental topics in the Robot Operating System (ROS) and mobile robots. However, it is very complex to learn. Usually, beginners find it difficult to even know where to start. The typical tutorials in ROS give high-level information about how to run ROS nodes to performs mapping and navigation, but they do not give any details about the technical aspects. Some other courses focus more on the technical aspects, which is mathematically complex but does not give a clear link to how these concepts are tied with the ROS navigation stack.

    This course addresses this gap and follows a practical approach to introduce new learners to mobile robot navigation foundations and how it is implemented in ROS. The course is designed to introduce you to the world of mobile robot navigation in a quick and effective manner.

    In this course, I presented detailed coverage of the most important package in ROS for navigation: the tf package! Without understanding this package, it will be difficult to deeply understand how navigation works in ROS. Although there are tf tutorials, the tf package heavily relies on important theoretical concepts not presented in ROS tutorials. This course provides a systematic introduction to the necessary theoretical background and complement with demonstration and programming activities of the tf package utilities and API.

    This course assumes that you have some background on the main concepts of Robot Operating System (ROS), such as ROS nodes, ROS topics, ROS services, and an understanding of the basic notion of motion with ROS. If you do not have these skills, I would recommend first enroll in my course ROS for Beginners: Basics, Motion, and OpenCV to get the necessary background. 

    My experience with ROS

    I have been programming with ROS for many years both in academic and industrial projects. I am very passionate to develop programs with ROS. I have also been teaching ROS at the University and providing training programs. I am the R&D Director of Gaitech Robotics, and I have developed many ROS packages for robots and drones. I have been leading international scientific activities around ROS, and in particular, I am the editor of five volumes of books with Springer entitled Robot Operating System, The Complete Reference. I gained a lot of experience in what difficulties new users encounter to learn ROS and this contributed to pin right to the point addressing these problems through the different lectures of the course.

    Who this course is for :

    Beginner ROS developers and users
    Students at Universities learning ROS
    Anyone interest to know about the navigation concepts of ROS and mobile robots
    Curious about robotics
    Whoever wants to learn ROS navigation without wasting time

    Course Size Details :

    4.5 hours on-demand video
    6 articles
    6 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Assignments
    Certificate of completion

    View Demo

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