Udemy – ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3 2021-11

ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3, Main robot we will be using is Turtle Bot 3 by Robotis . Package from official GitHub repository is going to obtained and then we will start to analyze how robot is launched into simulations like Rviz and Gazebo . After Going through multiple launch files we will create a custom launch file to bring the robot in to simulations . SLAM Toolbox will be executed for our custom created world containing MAZE . Then we will create a Autonomous Waiter in which we are going to utilize NAV2 stack as a main process with GUI interface. You can create: Custom Workspace, Custom Python Packages, Launch files Reduction, RVIZ and Gazebo Simulation Fundamentals, Simulation Video Recording with Node Communication, Performing SLAM using Cartographer and SLAM Toolbox

What you’ll learn

• ?? NAV2 Stack launching for TurtleBot3
• ??Perform SLAM using Cartographer Node in Custom Created Environment
• ?? Path Planning with Cost Maps and Localization
• ??? Understanding TurtleBot3 package in detailed examples

Who this course is for

• Want to implement SLAM and Autonomous Driving into custom Robots in Gazebo
• Understand basic Working and integration of Navigation Stack
• Want to know about Gazebo Plugins for a TurtleBot3 Package Structure

Specificatoin of ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3

• Publisher : Udemy
• Teacher : Muhammad Luqman
• Language : English
• Level : Intermediate
• Number of Course : 48
• Duration : 4 hours and 28 minutes

Content on 2024-6

Requirements

• ROS 2 Basics workflows , nodes communication , Launch Files
• Installations : ROS 1 HUMBLE , Ubuntu 22.04
• Understanding of Basics of Python 3

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 818 MB

File size

3.79 GB