Robotic Vision: Making Robots See

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FREE,
Add a Verified Certificate for $79

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Course Provider

FutureLearn online courses
At FutureLearn, we want to inspire learning for life. We offer a diverse selection of free, high quality online courses from some of the world’s leading universities and other outstanding cultural institutions. Our aim is to connect learners from all over the globe with high quality educators, and with each other. We believe learning should be an enjoyable, social experience, with plenty of opportunities to discuss what you’ve studied, in order to make fresh discoveries and form new ideas....
At FutureLearn, we want to inspire learning for life. We offer a diverse selection of free, high quality online courses from some of the world’s leading universities and other outstanding cultural institutions. Our aim is to connect learners from all over the globe with high quality educators, and with each other. We believe learning should be an enjoyable, social experience, with plenty of opportunities to discuss what you’ve studied, in order to make fresh discoveries and form new ideas. Courses are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life, rather than your life around learning. We are a private company wholly owned by The Open University, with the benefit of over 40 years of their experience in distance learning and online education. Our partners include over 20 of the best UK and international universities, as well as institutions with a huge archive of cultural and educational material, including the British Council, the British Library, and the British Museum.

Provider Subject Specialization
Humanities
Sciences & Technology
126 reviews

Course Description

Learn about the functions you need to program a robotic vision system.

Programming a computer to see requires knowing the principles of vision, and mathematical and programming skills. We start by refining our knowledge of image geometry and complete some MATLAB exercises. Next, we start the robotic vision programming project. You will be supported to learn the functions you need, such as improving colour segmentation, detecting shape and size, improving your homography matrix, rectifying your image and forming a complete vision system.

As an optional project, if you have built or bought a robot, we provide the information for integrating your vision system.

This course assumes that you are familiar with concepts from advanced high-school mathematics or undergraduate engineering. Ideally, you will have knowledge of geometry and basic physics (optics).

The course also assumes knowledge of the programming required to complete the c...

Learn about the functions you need to program a robotic vision system.

Programming a computer to see requires knowing the principles of vision, and mathematical and programming skills. We start by refining our knowledge of image geometry and complete some MATLAB exercises. Next, we start the robotic vision programming project. You will be supported to learn the functions you need, such as improving colour segmentation, detecting shape and size, improving your homography matrix, rectifying your image and forming a complete vision system.

As an optional project, if you have built or bought a robot, we provide the information for integrating your vision system.

This course assumes that you are familiar with concepts from advanced high-school mathematics or undergraduate engineering. Ideally, you will have knowledge of geometry and basic physics (optics).

The course also assumes knowledge of the programming required to complete the computer vision project. 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.

The course requires you to code your robot vision system in MATLAB. You will need to download the MATLAB software. With support from MathWorks, free access to MATLAB will be provided for the duration of the course plus 30 days.

Optional robot arm project

The purpose of this course is to program a robotic vision system, and optionally to integrate it with a robot to perform a simple, visual task. If you completed the course Introducing Robotics: Build a Robot Arm, you may already have a working robot arm you can use; or you might choose to purchase a LEGO MINDSTORMS NXT or EV3 development kit or something equivalent to it, or to borrow hobby robot components. This course does not run through how to assemble your robot arm, but rather provides all of the task instructions, demonstrations and worksheets for programming the vision system.

There are many ways to integrate the vision system and some of the most common approaches are:

1. Computer vision and robotics control on your computer

An attached web camera is used to acquire images that you process, to display results and to send motion commands to the robot. You will require a 64-bit computer as well as the full MATLAB software. There are many options to control the robot depending on the technology that you use to create it, for example:

a. MINDSTORMS NXT toolbox (NXT kits) or EV3 require custom software toolboxes to control your robot.

b. Arduino or RaspberryPi robot controllers might require a serial, WiFi or Ethernet cable connection to allow the MATLAB code to command it.

2. Computer vision on your computer

An attached web camera is used to acquire images that you process and display results for. You will require a 64-bit computer as well as the full MATLAB software.

3. Computer vision in the cloud

Your image processing works in an offline mode: you capture images of the worksheet using any camera and upload them to MATLAB Online using MATLAB Drive, where it is accessible by your program.

You can discuss your design ideas and options with your peers and the course mentors.

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