Module Specification
Module Title:
Module Code: EG7164
Module Leader:
Automation and Robotics
Level: 7
Dr Paola Falugi
Credit: 30
ECTS credit: 15
Pre-requisite:
Co-requisite:
Pre-cursor:
Excluded combinations :
Suitable for incoming study
abroad? Y/N (please delete as
appropriate)
Location of delivery: UEL/Other/By distance learning (please delete as appropriate)
If ‘Other’ please insert location here:
Summary of module for applicants:
This module develops the students’ knowledge and understanding of industrial and mobile robots, including
other key components and software which make up robotic systems; and provides the students with
knowledge of a wide range of topics in the field of robotics, including the development of robots in the
context of industrial applications and mobile robots.
Main topics of study:
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Robot Configurations
Configuration space and degree of freedom of a rigid body
Kinematics
Design of robot manipulators
Robot sensing, control, and simulation,
Introduction to the design and configuration of mobile robots
Control of robots for localization, navigation, and obstacle avoidance,
Industrial automation
Reliability in automation
Controller architectures and applications
Dedicated and flexible automation systems,
Selection criteria of automation systems,
Cost justification of automation.
This module will be able to demonstrate at least one of the following examples/ exposures
(please tick one or more of the appropriate boxes, evidence will need to be provided later in this document)
Live, applied project ☒
Company/engagement visits ☐
Company/industry sector endorsement/badging/sponsorship/award ☐
Learning Outcomes for the module
Code of Competencies
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Digital Proficiency - Code = (DP)
Industry Connections - Code = (IC)
Emotional Intelligence Development - Code = (EID)
Social Intelligence Development - Code = (SID)
Physical Intelligence Development - Code = (PID)
Cultural Intelligence Development - Code = (CID)
Community Connections - Code = (CC)
UEL Give-Back - Code = (UGB)
At the end of this module, students will be able to:
Knowledge
1.
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Evaluate the different mechanical configurations available for an industrial robot and what tasks
each is most suited to and assess the source of error in robots and safety issues. (DP, IC, CI,
EID)
Comprehend the principles of robot statics and dynamics, and the application of machine vision
and set up a machine vision system. (DP, IC, CI)
Thinking skills
3.
Describe the different mechanical configurations for robot manipulators and evaluate the
different methods of providing robot mobility (wheels, legs, tracks, climbing, etc) (IC)
Subject-based practical skills
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Analyze particular industrial applications and evaluate possible solutions in terms of automated
(dedicated / flexible) or mixed manual/ automated systems. (IC, CI)
Determine the parameters for successful automation and develop the appropriate logic control
for an automated system. (IC, CI)
Skills for life and work (general skills)
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Skills to adapt industrial control components to their automation design and apply safety
considerations in automation and robotics and the impact of automation and robotics on the
workforce. (IC, CI, EID)
Teaching/ learning methods/strategies used to enable the achievement of learning outcomes:
For on campus students:
The core materials for this module are provided during lectures and are supported by tutorials and
coursework.
In addition, the following strategies are used:
Formative tutorials problems
Formative in-class tests
Formative feedback given in tutorial/practical/laboratory classes
Active learning activities, such as design and build exercises
Assessment methods which enable students to demonstrate
the learning outcomes for the module; please define as
necessary:
Weighting:
1—5
Examination 2 hrs
50%
Coursework (3000 words) Practical and technical report for
Robotics and automation
Learning Outcomes
demonstrated:
1—6
50%
Reading and resources for the module:
Core
Niku, S.B. (2019). Introduction to Robotics: Analysis, Control, Applications, 3rd Edition. Wiley. ISBN: 978-1-11952760.
Groover, M.P. (2020). Automation, Production Systems, and Computer-integrated Manufacturing, 5th edition.
Pearson. ISBN: 9780134605463.
Recommended
Kevin M. Lynch and Frank C. Park, (2017), Modern Robotics: Mechanics, Planning, and Control, Cambridge
University Press, ISBN 9781107156302.
Provide evidence of how this module will be able to demonstrate at least one of the following examples/
exposures
Live, applied project
The coursework portfolio requires the students to consolidate and apply the knowledge gained from other
modules and this module to design and build a robot that would be able to enter competitions organised by
professional bodies, such as the IMechE Unmanned Aerospace Systems Challenge.
Indicative learning
and teaching time
Activity
(10 hrs per credit):
1. Student/tutor
interaction:
36 hours
36 hours
Lecturers
Tutorials/Laboratories
2. Student learning
time:
228 hours
Background reading, preparation for examination, write-up time for laboratory
exercises and coursework
Total hours
300 hours
(1 and 2):