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ROS2 Nav2 [Navigation 2 Stack] - with SLAM and Navigation

ROS2 Nav2 [Navigation 2 Stack] - with SLAM and Navigation
Published 1/2023
Created by Edouard Renard
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 52 Lectures ( 6h 3m ) | Size: 3.67 GB


Finally Understand the Nav2 Stack with ROS2 - SLAM, Mapping, Navigation, Gazebo Simulation, Python Code - Step by Step
What you'll learn
Discover the Navigation 2 stack with hands-on experiments
Create a map with SLAM in ROS2
Make a robot navigate while avoiding obstacles
Work with Navigation using a Gazebo simulation
Understand the Nav2 architecture
Tune the Navigation parameters
Experiment with the global planner, local planner, and recovery behavior
Create your own custom world in Gazebo building editor
Get the steps to adapt a custom ROS2 robot for the Navigation 2 stack
Control Nav2 with Python using the Simple Commander API
Get to know what TFs are important for the navigation
Understand the map and odom frames
Use the slam_toolbox package for mapping and SLAM
Practice more with additional activities and challenges
Requirements
Ubuntu 22.04 installed on your computer
Basic knowledge in Linux command line and Python programming
Basic knowledge in ROS2 (command lines, topics, writing a Python node, etc)
NO hardware required - you can follow the entire course with a Gazebo simulation!
Description
You have learned ROS2 basics and want to start with SLAM and the Navigation 2 stack?Or you have already started but you feel completely lost?In this course you will finally understand what the Navigation 2 stack is, step by step. And you will be able to apply this knowledge to your own ROS2 robotics projects.And to get started, no need to buy any hardware! You will be able to complete the course with a Gazebo simulation.-- Why this course?I realized that (while doing it myself) learning the Navigation stack is really not easy. If you thought that learning ROS2 was hard, then wait until you start with Nav2!There are not so many resources online, and just getting started with the existing documentation can be a nightmare - unless you're already a ROS2 expert. For many parts, in order to understand, you need so many prerequisites in ROS2 that it can become overwhelming.Because of this, understanding Navigation2 would take you weeks of painful learning and frustration. That's actually exactly what happened to me. And I don't wish that to you.That's why I created this course: so you can SAVE COUNTLESS HOURS and learn the Navigation 2 stack with minimum knowledge of ROS2, in the easiest possible way.Instead of dropping you in a sea of documentation I will guide you to make you experiment first, and then progress in a smooth way towards a practical understanding.To be clear, this course is not for complete ROS2 beginners, you need to have some ROS2 basics. But then, once you have the basics, you will be able to easily follow the course and learn Nav2 efficiently.My goal is to make Navigation accessible to anyone with a basic to intermediate level of ROS2.-- How do I teach?If you've taken other ROS2 courses from me you know that I'm not here to waste your time.My teaching method is quite simple:Step by stepGoing to the pointLearn while doingAlso I strongly focus on the "why" behind what you learn. The goal is not just to make you blindly repeat some steps, but to understand why those steps matter.And don't take my word for it - here are some reviews from fellow students/researchers/engineers/teachers who took my ROS2 course on Udemy:"Best course on ROS2 I've taken! Other courses (different sites/platforms) made it confusing but this course makes it so clear and easy to understand while letting you try on your own. I am definitely learning a lot in a painless and simple way. I should have gotten this course from the beginning." - Miguel Martinez G."Overall very satisfied. I've a strong background in programming, but at a higher level (web mostly) and the elegant, fluent and clean approach of this course has leveraged my introduction to the ROS environment in a short amount of time, without the struggle of going through a lot of documentation" - Devis D."This is the best course in ROS2 I've ever seen" - Aleksandar K."Great course content, straight to the point and very easy to follow" - Kevin M.-- What will you do and learn in the course?You will follow a progression line that allows you to experiment first, so you get an intuitive approach to Navigation. And only then we reinforce the learning with some explanations and a bit of theory, followed by more practice.In the course you will:Install ROS2 and the Navigation 2 stack.Generate and save a map with SLAM (Simultaneous Localization and Mapping).Make a robot navigate using this map.Understand how Navigation 2 works and what are the different components of the stack: global planner, local planner, recovery behavior, TFs, etc.Build a custom Gazebo world to be able to create a simulation of your own environment.Discover the steps to adapt your own robot for the Navigation 2 stack.Interact with Nav2 using the Python Simple Commander API.Each section is built on top of the previous ones, and you will reinforce what you've learned with extra challenges to practice more.So, to learn the Navigation stack and save countless hours, don't wait anymore and enroll in the course today!Oh and you don't take any risk here, because you also get a 30-day money back guarantee if you're not fully satisfied - no questions asked.See you in the course!Note - this course is not for you if:You are a complete ROS2 beginner. In this case, you need to learn ROS2 Basics firstYou want to learn the Navigation 1 Stack for ROS1 (not exactly the same thing)
Who this course is for
ROS developers who want to learn how to use the Navigation 2 stack
Engineers/Teachers/Researchers/Anyone interested in programming mobile robots with Robot Operating System 2
Anyone wanting to learn how to perform SLAM and Navigation using a simplified approach
Anyone lost in the ROS2 Navigation docs
Homepage
https://www.udemy.com/course/ros2-nav2-stack/




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