CE215-5-PT-CA:
Robotics
2024/25
Computer Science and Electronic Engineering (School of)
Colchester Campus & Apprenticeship Location
Spring Special
Undergraduate: Level 5
Current
Monday 13 January 2025
Friday 27 June 2025
15
16 April 2024
Requisites for this module
(none)
(none)
(none)
(none)
(none)
This module introduces the essential principles of robotics and provides practical experience in their programming. Students will understand the importance of sensory inputs, fundamentals of control, localisation and navigation, and program a robot to perform a range of tasks.
This module will be using Python or C++ programming so ideally students should have prior experience in this area (though this is not essential).
The aim of this module is:
- To familiarise students with the main concepts, techniques, and challenges involved in data science applications and to provide students with practical programming experience.
By the end of this module, students will be expected to be able to:
- Demonstrate an understanding of the objectives and difficulties of robot programming.
- Demonstrate an understanding of processing sensory inputs.
- Demonstrate an understanding of fundamental principles of control.
- Program robots to perform a range of tasks. 5. Explain robot localisation and navigation.
Outline Syllabus
- Introduction to robotics: A brief history of robotics Introduction to Robotic Operating System (ROS)
- Robot perception: Optical encoders Inertial Measurement Units (IMUs) Sonar sensors Laser scanners
- Cameras Motion control: Velocity control of motors Wheeled mobile robot locomotion
- Fundamental principles of control Localisation and mapping: Dead-reckoning Trilateration Probabilistic localisation
- Map building Path planning: Dijkstra algorithm Bug-like algorithm A* algorithm
This module will be delivered via:
-
-
Siegwart, R., Nourbakhsh, I.R. and Scaramuzza, D. (2011) Introduction to autonomous mobile robots. 2nd ed. Cambridge, Mass: MIT Press.
-
Corke, P.I. (2017)
Robotics, vision and control: fundamental algorithms in MATLAB®. Second, completely revised, extended and updated edition. Cham, Switzerland: Springer. Available at:
https://essex.alma.exlibrisgroup.com/view/action/uresolver.do?operation=resolveService&package_service_id=3589836860007346&institutionId=7346&customerId=7345.
-
A Gentle Introduction to ROS (no date). Available at:
https://cse.sc.edu/~jokane/agitr/.
-
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 |
Lab Exercises |
|
30% |
| Coursework |
Coding Project |
|
70% |
| Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period)
|
| 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 Dongbing Gu, email: dgu@essex.ac.uk.
Professor Dongbing Gu
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770(non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No
No
No
Dr Shadan Khan Khattak
Cardiff Metropolitan University
Senior Lecturer
Available via Moodle
Of 56 hours, 20 (35.7%) hours available to students:
36 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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