Robotic Vision: Principles of Vision

Explore the principles of human vision

To be able to programme a robot to see, you must first have an understanding of the principles of vision.

On this three-week course, you’ll build a strong foundation of knowledge as you delve into human vision and aspects of sight.

You’ll explore the human eye and examine light, reflection, and perspective to gain a full understanding of vision before learning how this can be applied to robotics.

Understand the programming skills needed for robot vision

Robot vision relies on the same aspects of human vision but uses cameras and computers instead of eyes and a brain.

You’ll explore how cameras work and how computers see images to understand the functionality of robotic vision.

To apply the principles of vision to robotic function, you need to use mathematical and programming skills. This course will take you through MATLAB programming language and environment, supporting you as you build practical skills in robotics.

Learn robotics from the experts at Queensland University of Technology

Using video demonstrations and other visuals designed by the experts at Queensland University of Technology, you’ll see real-life examples and be able to reflect on the nature of robotic vision for specific tasks.

This course will help you build confidence in robotics and develop skills used to programme a robot to see.

This course is designed for those familiar with concepts from advanced high-school mathematics or undergraduate engineering.

You should also have some programming knowledge. You can enrol in the MATLAB Onramp tutorial here.

This course contains practice activities in MATLAB. However, you won’t need to download the MATLAB software to complete the course (although if you already have it you are welcome to use it). The MATLAB exercises are embedded within the course, or you can use a version of MATLAB Online for which you’ll be provided a log-in and instructions for importing the Machine Vision Toolbox for MATLAB. You don’t need to own a robot, or have a robot kit, to take this course.