Module 13520 (2013)

Module Description - Intelligent Robotics

The Module Description is a strict subset of the Syllabus Page, which gives more information

Module TitleIntelligent Robotics
SchoolComputer Science
Module Code06-13520
DescriptorCOMP/06-13520/LH
Member of StaffJeremy Wyatt
LevelH
Credits20
Semester1
Pre-requisitesNone
Co-requisitesNone
RestrictionsAvailable only to School of Computer Science students; registration limited to approx. 42 in combination with 06-15267 (Intelligent Robotics (Extended)). May not be taken by anyone who has taken or is taking 06-15267 (Intelligent Robotics (Extended)).
Contact hours42
DeliveryApproximately 18 lectures and 24 laboratory sessions
DescriptionArtificial Intelligence is concerned with mechanisms for generating intelligent behaviour. When this behaviour occurs in the everyday physical world, with its uncertainty and rapid change, we find that all kinds of new problems and opportunities arise. We will try to understand some of these in the context of robotics. In a series of lectures we will look at some theories of how to sense the real world, and act intelligently in it. In a series of labs you will build your own robots to see how well (or badly) these theories actually work.
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
design, build and program simple autonomous robots Team Project
implement standard signal processing and control algorithms Team Project
describe and analyse robot processes using appropriate methods Team Project
write a detailed report on a robot project Team Project
carry out and write up investigations using appropriate experimental methods Team Project
AssessmentSessional: continuous assessment (100%).
Supplementary (where allowed): None; the module may only be repeated.
The continuous assessment consists of a writeup and demonstration of an autonomous robot project designed and constructed by each team.
TextsS Thrun, W Burgard, D Fox, Probabilistic Robotics, 2005
G Dudek, M Jenkin , Computational Principles of Mobile Robotics, 2000
R Arkin, Behavior Based Robotics, 1998
F Martin, Robotic Explorations: A Hands-on Introduction to Engineering, 2001
V Braitenberg, Vehicles: Experiments in Synthetic Psychology, 1984
U Nehmzow, Mobile Robotics: A practical introduction, 2000
S Mahadevan and J Connell, Robot Learning, 1993
J Jones, B Seiger and A Flynn, Mobile Robots: Inspiration to Implementation (2nd ed.), 1999