/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

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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:

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Ubuntu-20.04:

  • Follow along the Wiki guide to setup the project.

⛲ Features

  • Custom Robot Integeration

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  • Drive to Goal Nodes

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  • Custom World Setup

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  • Mapping

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  • Path Planning

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  • Maze Solving

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🧊 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.