Maze Solving using Computer Vision In ROS2

Repository contents

Table of Contents

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

🤝Repository's About

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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

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Docker:

     

Ubuntu-20.04:

• Follow along the Wiki guide to setup the project.

⛲ Features

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• 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:

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

📗 Notes

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You can access section wise notes here -> PDFs

• Computer Vision -> PDFs

Star History

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💰 Coupon

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✨ Enroll Now with Special Discount ✨ [Discounted Link]

👤 Instructors

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Muhammad Luqman

• Website: Robotisim
• Github: Luqman.git
• LinkedIn: Luqman.in

Haider Abbasi

• Github: Haider.git
• LinkedIn: Haider.in

📝 License

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