CE801-7-AU-CO:
Intelligent Systems and Robotics

The details
2019/20
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 03 October 2019
Saturday 14 December 2019
15
08 May 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

MSC G41112 Artificial Intelligence,
MSC G40812 Intelligent Systems and Robotics

Module description

This module gives an introduction to intelligent systems and robotics. It goes on to consider the essential hardware for sensing and manipulating the real world, and their properties and characteristics. The module then considers kinematics, especially in the context of manipulators. The programming of intelligent systems and real-world robots are explored in the context of localisation, mapping, and fuzzy control. The module finishes by discussing the recent advances in robotics, especially multi-robotic systems and robot learning.

Module aims

The aim of this module is to introduce intelligent systems and robotics and the essential hardware for sensing and manipulating real-world. The module considers kinematics in the context of manipulators, localisation, mapping and fuzzy control.

Module learning outcomes

On completion of the course, students should be able to:

1. Demonstration an understanding of a range of intelligent systems and robots
2. Explain the characteristics of a range of sensors and actuators
3. Explain the basic principles of robot kinematics, localisation and mapping
4. Make use of the principles of fuzzy logic in controlling real-world devices
5. Perform simple programming of a robot

Module information

Syllabus

Introduction to intelligent systems and robotics:

. A brief history of robotics, types of robots
. Robot challenges (RoboCup, DARPA Grand Challenge)
. Potential applications of intelligent systems and robotics
Sensors and Actuators:
. Sonar, laser scanner, optical encoders
. DC motors

Control
. Feedback control
. Fuzzy controllers

Localisation and mapping
. Triangulation
. Kalman filter

Behaviour based programming
. Robot behaviours
. Potential field approach
. Behaviour based architecture

Learning and teaching methods

lectures and lab sessions

Bibliography

This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Assignment 1 - Report on Practical Exercise 15/01/2020 100%
Exam 120 minutes during Early Exams (Main)

Overall assessment

Coursework Exam
30% 70%

Reassessment

Coursework Exam
30% 70%
Module supervisor and teaching staff
Professor Hani Hagras
School Office, e-mail csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770.

 

Availability
Yes
No
No

External examiner

Dr Rong Qu
The University of Nottingham
Associate Professor
Resources
Available via Moodle
Of 122 hours, 22 (18%) hours available to students:
100 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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