Skip to content

Vamsi-IITI/ROS-Autonomous-Driving-and-Path-Planning-SLAM-with-TurtleBot

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ROS Autonomous Driving and Path Planning SLAM with TurtleBot3

Table of Contents
  1. About This Repository
  2. Using this Repository
  3. Course Workflow
  4. Features
  5. Pre-Course Requirments
  6. Link to the Course
  7. Notes
  8. Instructors
  9. License

About this Repository

This is repository for the course ROS Autonomous Driving and Path Planning SLAM with TurtleBot3 availble at Udemy . Complete source code is open sourced . Notes are also attached in root of the repository.

alt text


Using this Repository

  • Move into your workspace/src folder
cd path/to/ros1_ws/src/
##e.g cd ~/catkin_ws/src/
  • Clone the repository in your workspace
git clone https://github.com/noshluk2/ROS-Autonomous-Driving-and-Path-Planning-SLAM-with-TurtleBot
  • Perform make and build through catkin
cd /path/to/workspace_root/
##e.g ~/catkin_ws/
catkin_make
  • Source your Workspace in any terminal you open to Run files from this workspace ( which is a basic thing of ROS )
source /path/to/catkin-ws/devel/setup.bash
  • (Optional for Power USERs only) Add source to this workspace into bash file
echo "source /path/to/catkin-ws/devel/setup.bash" >> ~/.bashrc

NOTE: This upper command is going to add the source file path into your ~/.bashrc file ( Only perform it once and you know what you are doing).This will save your time when running things from the Workspace


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.

Features

  • Custom Mapping Maze using Gazebo
    • alt text
  • Maze Solving using Navigation Stack
    • alt text
  • Intruder Surveillance and Navigation
    • alt text

Pre-Course Requirments

Software Based

  • Ubuntu 20.04 (LTS)
  • ROS1 - Noetic

Link to the Course

Below is a discounted coupon for people who want to take the course in which more explaination to this code has been added

[Get course Here]


Notes

We have uploaded all the notes made during the lectures of the course so you can get more out of this repository with the instructors Notes. A seperate folder named as Notes contain a single PDF carrying all the notes in the root of this repository

Instructors

Muhammad Luqman (ROS Simulation and Control Systems) - Profile Link


License

Distributed under the GNU-GPL License. See LICENSE for more information.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • CMake 56.9%
  • Python 43.1%