Robotic Vision: Principles of Vision Free Online Course by Queensland University of Technology

Queensland University

The Queensland University of Technology is offering Free Online Course on Robotic Vision: Principles of VisionThis course assumes that you are familiar with concepts from advanced high-school mathematics or undergraduate engineering.

In this course, applicants will learn the basics of human and robot vision, the concept of perspective and the constituent parts of an image. The course will start on 

Course At Glance 

Length: 3 weeks
Effort: 3 hours/week
Subject: Robotic Vision
Institution: Queensland University of Technology and Future learn
Languages: English
Price: Free
Certificate Available: Yes
Session: Course starts on 

Providers’ Details

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.

About This Course

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.

Why Take This Course?

This is a free online course. This MOOC will be offered with Video Transcripts in English.  Applicants can get a verified certificate.

Learning Outcomes

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


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


Peter Corke

Professor of Robotic Vision at QUT and Director of the Australian Centre for Robotic Vision (ACRV). P

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

He is  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.

How To Join This Course

  • Go to the course website link
  • Sign Up At FutureLearn
  • Select a course and Join
  • Once a course has started, applicant will be able to access the course material
  • After the start date, students will be able to access the course by following the Go To Course link on My Courses page.
  • Applicants can buy, to show that they have completed a FutureLearn course.
  • On some FutureLearn courses, learners will be able to pay to take an exam to qualify for a Statement of Attainment. (These are university-branded, printed certificates that provide proof of learning on the course topic(s)).

Apply Now

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