CE801-7-AU-CO: Intelligent Systems And Robotics
Department: Computer Science and Electronic Engineering
Essex credit: 15
ECTS credit: 7.5
Available to Study Abroad / Exchange Students: No
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No
Professor Hani Hagras
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.
|Module is taught during the following terms
This module gives an introduction to intelligent systems and robotics. It goes on to consider the essential ardware 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.
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
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
. Feedback control
. Fuzzy controllers
Localisation and mapping
. Kalman filter
Behaviour based programming
. Robot behaviours
. Potential field approach
. Behaviour based architecture
Learning and Teaching Methods
lectures and lab sessions
30 per cent Coursework Mark, 70 per cent Exam Mark
Assignment 1: Type of assignment - Practical assignment and report.
Mode of submission via FASER.
Weighting (as percentage of module mark) 30%.
Week assignment issued is week 4.
Week assignment to be submitted is week 16.
STUDENTS SHOULD NOTE THAT THIS MODULE INFORMATION IS SUBJECT TO REVIEW AND CHANGE
- Recommended Reading
- BEKEY, G., Autonomous Robots, The MIT Press, 2005, ISBN-10: 0262025787,
- ISBN-13: 978-0262025782
- MURPHY, R., Introduction to AI Robotics, The MIT Press, 2000, ISBN 0-262-13383-0