/ROS2-Path-Planning-and-Maze-Solving

Developing a maze solving robot in ROS2 that leverages information from a drone or Satellite's camera using OpenCV algorithms to find its path to the goal and solve the maze. :)

Primary LanguagePythonMIT LicenseMIT

Maze Solving using Computer Vision In ROS2

alt text

Repository contents

Table of Contents
  1. 🤝Repository's About
  2. ⚡ Using this Repository
  3. ⛲Features
  4. 🧊Pre-Course Requirments
  5. 📗 Notes
  6. 👤Instructors
  7. 💰Coupon
  8. 📝License

🤝Repository's About


This course is focus on Maze Solving behavior of robot In a Simulation based on ROS2. Computer Vision is the key focus with integrated important robotics algorithms of Motion Planning . The type of robot we will be using is Differential Drive Robot with a caster wheel . Course is structured with below main headings .

  • Custom Robot Creation
  • Gazebo and Rviz Integrations
  • Localization
  • Navigation
  • Path Planning

From our robot to last computer vision Node ,we will create every thing from scratch . Python Object Oriented programming practices will be utilized for better development.

⚡ Using this Repository


Docker:

alt text   alt text  

Ubuntu-20.04:

  • Follow along the Wiki guide to setup the project.

⛲ Features


  • Custom Robot Integeration

    • alt text

  • Drive to Goal Nodes

    • alt text

  • Custom World Setup

    • alt text

  • Mapping

    • alt text

  • Path Planning

    • alt text

  • Maze Solving

    • alt text

🧊 Pre-Course Requirments:


  • Ubuntu 20.04 (LTS)
  • ROS2 - Foxy Fitzroy
  • Python 3.6
  • Opencv 4.2

📗 Notes


You can access section wise notes here -> PDFs

💰 Coupon


Udemy Discounted Course Link [Discounted Link]

👤 Instructors


Muhammad Luqman

Haider Abbasi

📝 License


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