Learn to build ROS2 based Drones Computer Vision Drone

🚀 Learn to build ROS2 based Drones with Computer Vision - Updated! 🚁

Course Headline: Simulate camera sensor for drone precise movement - Dive into the world of drones and computer vision with ROS2 Humble in our updated course!

Course Description:

Course Updated to ROS2 Humble: 🎉 Rating is for OLD version of this course. The New update to projects and way of explaining is what you are going to love! 💖

This updated course offers a comprehensive dive into ROS2 Humble, featuring all-new projects and enhanced explanations that promise to elevate your learning experience. The course is centered around interfacing Hector Drone and its sensors with Python nodes, where you will learn to write algorithms for various drone behaviors within the Gazebo simulation. Throughout the course, you will gain practical experience in drone control using ROS2 C++ nodes, leveraging OpenCV for Python to execute advanced computer vision algorithms in your final project.

🎯 Course Highlights:

• Updated to ROS2 Humble: Enjoy the latest improvements and updates in the ROS2 Humble environment.
• Enhanced Learning Experience: Benefit from new projects and a refined teaching approach.
• Interactive Simulations: Engage with Hector Drone in Gazebo for practical, hands-on learning.
• Advanced Computer Vision: Utilize OpenCV for Python to implement computer vision algorithms.

🚀 Projects:

1. Drone Controlling using ROS2 C++ Nodes: Develop essential skills for drone control by creating and managing ROS2 C++ nodes.
2. Drone Following Ground Vehicles through Computer Vision: Implement computer vision techniques to enable a drone to follow ground vehicles autonomously.
3. Drone Performing Dynamic Go-to-Goal Behavior: Develop and fine-tune algorithms for dynamic navigation, allowing the drone to move efficiently to a designated goal.

🌍 Course Workflow:

1. Introduction to Hector Drone and Sensors: Learn to interface the drone's sensors with Python nodes, setting the foundation for subsequent projects.
2. Computer Vision with OpenCV: Apply OpenCV library functions for advanced computer vision tasks, enhancing your drone's capabilities and performance.

🛠️ Software Requirements:

• Ubuntu 22.04 (Jammy Jellyfish)
• ROS2 Humble Galactic RM (Galactic)

With these tools at your disposal, you'll be ready to embark on a journey through the intricate world of drone programming and computer vision. Join us, and let's build some amazing ROS2 based Drones together! 🛫✨

Overview

The course in question is designed to teach the intricacies of ROS (Robot Operating System) and its applications, particularly using Rviz and Gazebo for simulation. The global rating stands at 3.25, with recent reviews reflecting a mix of experiences, ranging from positive feedback on the content's organization to criticism regarding the clarity of instruction, audio quality issues, and some technical shortcomings.

Pros

• Content Organization: The tutorial and the content are well-organized, making it relatively easy for students to follow along. (Source: Various reviews)
• Knowledgeable Tutor: The instructor appears to be knowledgeable about the subject matter. (Source: Multiple reviews)
• Responsive Interaction: The tutor is responsive to questions and engages with the audience effectively when queries are raised. (Source: Several reviews)
• Clear Structure in Some Instances: Some aspects of the course are taught clearly, with a good pace and sufficient detail. (Source: Some reviews)
• Effort in Development: The instructor has made a considerable effort to develop relevant files for the course. (Source: Review)

Cons

• Inconsistent Explanation: The explanations provided are inconsistent, with some theoretical concepts not being explained at all, leading to confusion. (Source: Multiple reviews)
• Audio Quality Issues: There are significant issues with audio quality, which can make the content difficult to understand. (Source: Several reviews)
• Fast Paced without Detail: The instructor tends to move through topics quickly, sometimes skipping over essential details or not providing sufficient context for the reader. (Source: Multiple reviews)
• Lack of Practical Implementation Details: Some reviewers feel that the course would benefit from additional lectures on implementation details and more practical examples. (Source: Review)
• Missing References: The instructor should refer to external resources like the ROS wiki for more in-depth information, which is currently missing. (Source: Review)
• Potential for Errors: There are instances where the instructor makes mistakes and does not correct them or explain how errors were resolved, which can be misleading for learners. (Source: Multiple reviews)
• Technical Installation Challenges: Some students have encountered difficulties installing the packages, indicating potential issues with platform compatibility or documentation. (Source: Review)
• Unclear Instructions: The instructions given are sometimes unclear, and it is questionable whether a new learner would understand the presentation as intended. (Source: Detailed review)
• Missing File Explanations: The instructor often jumps into code changes without explaining why or how certain files are used or created, which can be confusing. (Source: Detailed review)

Technical Question Raised

• 3D Nav Goal in 2D Nav: One technical question from a reviewer remains unanswered during the course—how to use a 2D nav goal for a 3D platform. This raises doubts about whether this concept is covered adequately within the course material. (Source: Review)

Recommendations for Improvement

• Improve Audio Quality: Enhance audio recording and editing to ensure clarity and understanding.
• Enhance Explanation Clarity: Provide more detailed explanations, especially when introducing new concepts or making file changes.
• Increase Diagram Usage: Incorporate more diagrams to visualize the concepts being taught.
• Provide References: Direct students to additional resources like the ROS wiki for further information.
• Slow Down and Organize: Slow down the presentation pace and organize the instruction process more effectively to cater to learners of varying backgrounds.
• Address Technical Issues: Address the technical installation issues faced by some users, possibly by updating installation guides or providing a troubleshooting guide.
• Clarify Instructions: Ensure that instructions are clear enough for a new learner to follow without confusion. (Source: Detailed review)

In summary, while the course offers well-organized content and a knowledgeable tutor, there are significant issues with the clarity of instruction, audio quality, and some technical aspects that need addressing. By improving these areas, the course could provide a more comprehensive and accessible learning experience for students interested in ROS, Gazebo, and Rviz.