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Online course

Robotic Vision: Principles of Vision

What is vision? Learn the basics of human and robot vision, the concept of perspective and the constituent parts of an image.

What’s the difference between a free course and an upgraded course?

Free:

  • Access to the course for its duration + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)
  • No certificate

Upgraded:

  • Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
  • A Certificate of Achievement when you complete the course

Find out more

Robotic Vision: Principles of Vision

Upgrade - $79
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This course is part of the Robotic Vision program, which will enable you to skills in building robotic vision systems will become vital to developing the robots of the future.

Discover the principles of vision and how robots can be programmed to see.

Programming a robot to see requires understanding the principles of vision, and having mathematical knowledge and programming skills. We start by considering the question, ‘What is vision?’ You’ll learn about human vision and aspects of sight, including light, reflection, perspective and how cameras work. Robot vision relies on these same principles but uses cameras and computers instead of eyes and a brain.

Skip to 0 minutes and 4 secondsThe field of robotics is growing very, very rapidly and in the near future we're going to see robots affecting all aspects of our lives. We're going to see them in our homes, in our workplaces, they are going to be outdoors doing work in agriculture and in environmental monitoring. A really important capability for robots if they are going to be able to do these complex jobs in complex environments is the ability to see. That's what this course is all about. It's how we equip robots with the sense of vision. To program a robot with the ability to see, it's vital that we first understand some principles of vision, such as light, perspective and reflection.

Skip to 0 minutes and 42 seconds Robots with vision that can detect differences in sizes and shapes of objects are starting to play bigger roles in a number of fields, including agriculture, entertainment industries and even health care. Right now, a robot with a sophisticated vision system is exploring the surface of Mars. Providing us with not only amazing videos, images and scientific measurements but insights into the formation of our solar system. We've just seen some examples of robotic vision systems and I hope this has piqued your interest in the field of robotic vision. It's something that I find totally fascinating and it's what I've spent a large portion of my career doing, trying to equip the robots with the ability to see.

Skip to 1 minute and 15 secondsI'm Peter Corke and I'd like you to join me in exploring the exciting world of robotic vision.

What topics will you cover?

  • how vision works
  • human vision and the human eye
  • robot vision
  • light, light sources and reflection
  • how cameras see
  • aspects of vision – 3D, geometry, perspective and brightness
  • image input – how computers see images
  • image features.

When would you like to start?

  • Available now
  • Date to be announced

What will you achieve?

By the end of the course, you'll be able to...

  • Explain the principles of vision
  • Apply the principles of vision to robotic function
  • Reflect on the nature of robotic vision for specific tasks

Who is the course for?

This course assumes that you are familiar with concepts from advanced high-school mathematics or undergraduate engineering.

The course also assumes knowledge of programming. This will help you understand some of the demonstrations in the videos, and is required for the third course in the robotic vision program. This course uses the MATLAB programming language and environment, but your knowledge of programming in other languages can be easily transferred to MATLAB. You can familiarize yourself with MATLAB by enrolling in the MATLAB Onramp tutorial.

Please note that this course includes video content and other visual teaching methods. Blind and visually impaired students may need a helper.

What software or tools do you need?

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). With support from MathWorks, free access to MATLAB will be provided for the duration of the course plus 30 days. 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.

Who will you learn with?

Peter Corke

Professor of Robotic Vision at QUT and Director of the Australian Centre for Robotic Vision (ACRV). Peter is also an IEEE fellow and on the editorial board of several robotics research journals.

James Sergeant

PhD Candidate with the Australian Centre for Robotic Vision researching towards robust visual object recognition to facilitate useful robotic tasks.

Edward Pepperell

Dr Pepperell completed his PhD in robotic vision at QUT in 2016, with a research focus in vision-based place recognition.

Obadiah Lam

Hello! I'm Obadiah, a sessional academic at Queensland University of Technology. I've taught robotics and control engineering courses and MOOCs, and have worked as a robotic vision researcher at QUT.

Who developed the course?

QUT is a leading Australian university ranked in the top 2% of universities worldwide by the 2015-16 Times Higher Education World University Rankings. Located in Brisbane, it attracts 47,000 students.

What’s the difference between a free course and an upgraded course?

Free:

  • Access to the course for its duration + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)
  • No certificate

Upgraded:

  • Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
  • A Certificate of Achievement when you complete the course

Find out more

Get extra benefits, upgrade this course. For $79 (+ shipping) you'll get:

Unlimited access

Upgrading will mean you get unlimited access to the course.

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  • Take the course at your own pace
  • Refer to the material at any point in future

If you’re taking a course for free you have access to the course for its duration + 14 days, regardless of when you join. If you upgrade the course you have access for as long as the course exists on FutureLearn.

Certificate of Achievement

Upgrading means you’ll receive a Certificate of Achievement when you complete the course.

Image certificate mobile

  • Prove your success when applying for jobs or courses
  • Celebrate your hard work
  • Display on your LinkedIn or CV

To receive a Certificate of Achievement you need to mark 90% of the steps on the course as complete.

Upgrade


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