CE801-7-AU-CO:
Intelligent Systems and Robotics
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 05 October 2023
Friday 15 December 2023
15
21 February 2023
Requisites for this module
(none)
(none)
(none)
(none)
(none)
MSC G41112 Artificial Intelligence,
MSC G411CH 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 aims of this module are:
- To introduce intelligent systems and robotics and the essential hardware for sensing and manipulating real-world.
- To consider kinematics in the context of manipulators, localisation, mapping and fuzzy control.
By the end of this module, students will be expected to be able to:
- Demonstration an understanding of a range of intelligent systems and robots.
- Explain the characteristics of a range of sensors and actuators.
- Explain the basic principles of robot kinematics, localisation and mapping.
- Make use of the principles of fuzzy logic in controlling real-world devices.
- Perform simple programming of a robot.
The module assumes a reasonable Python programming background and is not suitable for students without prior Python programming experience.
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
This module will be delivered via:
- Lectures
- Lab sessions
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: In-Person, Open Book (Restricted), 120 minutes during Early Exams
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during January
|
| Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period)
|
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
School Office, email: 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
Dr Colin Johnson
University of Nottingham
Dr Dimitrios Kanoulas
UCL
Associate Professor
Available via Moodle
Of 140 hours, 20 (14.3%) hours available to students:
120 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
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