ROS Autonomous Driving and Path Planning SLAM with TurtleBot

ROS Autonomous Driving and Path Planning SLAM with TurtleBot

Course Updated to ROS NOETIC :

Rating is for OLD version of this course ( for New Comers ) , New update to projects and way of explanation is what you are going to love :)

Course Workflow:

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 using Gmapping node will be executed for our custom created world containing MAZE . Then we will perform last project of Intruder Detection and Surveillance in which we are going to utilize Navigation stack as a main process.

Outcomes After this Course :

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 Gmapping Node

• Navigation Stack Integration

  • Path Planners

  • Cost Maps

Projects :

• Maze Solving Robot with Optimal path

• Intruder Detection and video feedback while Navigating

Process of Explanation

1. Theory for Concepts building with interactive Writing and Comments

2. Writing Code for the nodes and concepts discussed

3. Analyzing the output and noting the resources utilized

Software Requirements

• Ubuntu 20.04

• ROS Noetic

• Motivated mind for a huge programming Project
  

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  Before buying take a look into this course GitHub repository  or message

  ( if you do not want to buy get the code at least and learn from it :) )

Maze Solving and Intruder Detection with Surveillance with TurtleBot3

Url: View Details

What you will learn

• ???? Navigation Stack launching for TurtleBot3
• ????Perform SLAM using Gmapping Node in Custom Simulated Environment
• ⛩️ Path Planning with Cost Maps and Localization

Rating: 4.4

Level: Intermediate Level

Duration: 3.5 hours

Instructor: Muhammad Luqman