Introduction to Vision and Robotics

In 2014/2015 The course will be taught in Semester 2

Course Descriptor
10 Minute Introduction

Course Organisers: 

Bob Fisher Michael Herrmann
Email: rbf AT inf DOT ed DOT ac DOT uk Email: mherrman AT inf DOT ed DOT ac DOT uk
Office: 1.26 Informatics Forum Office: 1.42 Informatics Forum
Phone: 651 3441 Phone: 651 7177


Lecturers: Bob Fisher & Michael Herrmann
Lecture times: Mondays 11:10am and Thursdays 11:10am in Appleton Tower Lecture Theatre 1
NOTE: the first lecture will be on 12th January, 2015.

Lecture slides and handouts will be available here before the start of each lecture.
The content will be arranged somewhat differently than in previous years.

Vision Lectures

IMPORTANT INFORMATION: This course is not taught by the traditional lectures. Instead, we use an Inverted Classroom method. This means that you will have about 8 hours of video to watch in your own time. This material is assessible. There are still 2 full class meetings each week. At each meeting we will be discussing any questions that you either suggest in advance or raise in class on the day. There will not be a 'lecture'.

Here is the link to the vision lecture videos, associated readings and associated Matlab. Here is an Introduction to how the course is intended to be followed.

Robotics Lectures

This year the robotics lectures will not be recorded on video.

Previously Recorded Lectures

You may be able to find audio and videos of previous IVR lectures: 2010/11.


Demonstrators: Davide Modolo (d.modolo AT sms DOT ed DOT ac DOT uk) and Adam Erskine (a.erskine AT sms DOT ed DOT ac DOT uk).
Supervised Lab Times: From week 2, Monday and Thursday 14:10 to 15:00, and Wednesday 12:10 to 13:00 at IPAB Robot teaching lab, AT 3.01.
(check back for updates of the lab times)
Week 2 - Matlab, webot, khepera introduction
Week 3 - More matlab, webot, khepera skills
Week 4 - Image processing skills
Week 5 - Visual classification skills
No practicals in week 6.
Week 7 - Real Khepera control


Coursework (25%)
There will be two pieces of assessed coursework carrying equal weight (12.5% each)

  1. A vision assignment during weeks 4-6, announced by Thursday February 12 and due 4pm Thursday February 26. Marked results will be returned by March 12. There will be an assessed demonstration of the assignment in the Robotics Lab from 9:00-13:00 on Friday February 27. Details are available here. You will need to download these two data sets: dataset 1, dataset 2. Feedback: You will get oral feedback at the demonstration and a written report on the marked submission. The written feedback will cover specific issues about the assignment as well as a set of marks for the different components of the assignment. General observations about the solutions from all of the submitted practicals will be circulated by email.

  2. A robotics assignment during weeks 7-10, with the assignment due 4pm Thursday 26th March. There will be assessed demonstrations of the assignment in the Robotics Lab from 10:00-16:00 on Friday 27th of March. Details are available here. More information is here, and here are some files that can be used in webots. Feedback will be given in the same way as for the first assignment.

The practicals are done in teams of two. For each assignment a demonstration of the results will be required and a single, joint report is to be submitted by one of the students in each team.

Maximising your coursework practical score.

All practicals are covered by the school policy on plagiarism and students are advised to be fully aware of this when submitting practical work.

Exam (75%)
Here is a sample paper with sample answers
The lecture and practical contents define the examinable material.


Formative feedback: You can get formative feedback in several ways: 1) by asking the lab demonstrator questions in the supervised lab sessions, 2) by asking the lecturer questions during (oral) and after class (oral,email), 3) by asking your fellow students using the wiki, 4) by asking your practical partner, 5) the drill questions given after each videoed lecture segment (vision course only), and 6) the general comments on the class's approaches to the practical solutions emailed after the marking is complete.

Sumative feedback: You can get sumative feedback in several ways: 1) oral feedback during the demonstrations of your practicals, and 2) written marks and comments on your submitted practical assignments.

Reading list:

See individual lecture handouts for further reference material.



This page is maintained by the course lecturer, Michael Herrmann,, room IF 1.42, ext 517177.

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