CE801-7-AU-CO:
Intelligent Systems and Robotics
2020/21
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 08 October 2020
Friday 18 December 2020
15
20 November 2020
Requisites for this module
(none)
(none)
(none)
(none)
(none)
MSC G41112 Artificial Intelligence,
MSC G40812 Intelligent Systems and Robotics
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.
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.
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
Syllabus
Introduction to intelligent systems and robotics:
1. A brief history of robotics, types of robots
2. Robot challenges (RoboCup, DARPA Grand Challenge)
3. Potential applications of intelligent systems and robotics
4. Sensors and Actuators:
5. Sonar, laser scanner, optical encoders
6. DC motors
Control
1. Feedback control
2. Fuzzy controllers
Localisation and mapping
1. Triangulation
2. Kalman filter
Behaviour based programming
1. Robot behaviours
2. Potential field approach
3. Behaviour based architecture
Lectures and lab sessions
- Mendel, Jerry M. (2017) Uncertain Rule-based Fuzzy Systems: Introduction and New Directions: Springer.
- Murphy, Robin R. (2000) Introduction to AI Robotics, London, UK: MIT Press.
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Assignment 1 - Report on Practical Exercise |
|
100% |
| Exam |
Main exam: 180 minutes during Early Exams
|
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Prof Hani Hagras, email: hani@essex.ac.uk.
Professor Hani Hagras, Professor Huosheng Hu
School Office, e-mail csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770.
Yes
No
No
Dr Marios Angelopoulos
Bournemouth University
Principal Academic
Available via Moodle
Of 2263 hours, 20 (0.9%) hours available to students:
2243 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
Disclaimer: The University makes every effort to ensure that this information on its Module Directory is accurate and up-to-date. Exceptionally it can
be necessary to make changes, for example to programmes, modules, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements,
industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to modules may for example consist
of variations to the content and method of delivery or assessment of modules and other services, to discontinue modules and other services and to merge or combine modules.
The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications and module directory.
The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.