Hello and welcome to the augmented reality training course with applications in Robotics.
In this course, we’ll cover a variety of new topics, such as using images to display models and calling functions,
surface detection and how to use it to display robot models
or waypoints for robot pathfinding,
and using the OpenCV library for object detection,
or both at the same time and use them as the trigger for different functions in augmented reality.
The first lesson of the augmented reality course will be published on Thursday at 9 am CDT. Stay Tuned!
The contents of the entire augmented reality training course are as follows:
- Introduction to Augmented Reality (AR) Course (1/9)
- How to Download and Setup Unity Engine and AR Foundation SDK (2/9)
- Image Target to Demonstrate a 3D UAV in AR Foundation + Using Image Target as a Trigger for a Specific Action (3/9)
- Ground Detection in Unity: Instantiate an Object (3D UAV) on the Detected Ground or Surface (4/9)
- Automatic Movement of UAV to a Target Position in Unity by Instantiating Flags as Destination (5/9)
- How to Install the OpenCV SDK in Unity (6/9)
- Object Detection Using OpenCV | Augmented Reality using OpenCV (7/9)
- Color Detection Using OpenCV | Augmented Reality using OpenCV (8/9)
- Object & Color Detection Using OpenCV | Augmented Reality using OpenCV (9/9)
[Important] augmented reality source Code:
The source code for the entire tutorials can be downloaded HERE!
Here is the first video, which is an introduction to the course:
Before continuing, review the following lesson to gain an understanding of augmented reality:
If you enjoyed this post, please consider contributing to help us with our mission to make robotics and mechatronics available for everyone. We deeply thank you for your generous contribution!
Do not forget to contact us:
Be sure to let us know your thoughts and questions about this post, as well as the other posts on the website. You can either contact us through the “Contact” tab on the website or email us at support[at]mecharithm.com.
Send us your work/ research on Robotics and Mechatronics to have a chance to get featured in Mecharithm’s Robotics News/ Learning:
Follow Mecharithm in the following social media too: