MEng Mechatronic Engineering with Industrial Experience / Course details

Year of entry: 2027

Course unit details:
Robotic Manipulators

Course unit fact file
Unit code EEEN42012
Credit rating 15
Unit level Level 4
Teaching period(s) Semester 2
Offered by Department of Electrical & Electronic Engineering
Available as a free choice unit? No

Overview

This unit introduces students to the field of robotic manipulation, which is widely used in several application areas, from manufacturing to surgery, agriculture to social care.  

Manipulators allow robots to interact with their environment and are critical to their full potential to assist humans with tasks.  

Students will learn how to create kinematic and dynamic models for manipulators before developing a range of controllers to enable them to complete tasks.

 

Aims

The unit aims to: Introduce students to the fundamental concepts underpinning robotic manipulators, from the principles of design of manipulators and end-effectors to the modelling and control for various applications. 

Learning outcomes

On successful completion of the course, a student will be able to:

ILO 1: Describe the key components of a robotic manipulator and evaluate the effectiveness of end-effectors for a given task.

ILO 2: Formulate kinematic and dynamic models for robotic manipulators.

ILO 3: Design and implement appropriate closed-loop controllers for robotic manipulator tasks.

ILO 4: Analyse the control system performance against appropriate metrics.

ILO 5: Present scientific data to professional engineering and/or lay audiences.

Teaching and learning methods

The unit allows the use of blended learning materials.  Students can engage with asynchronous materials such as videos, lecture notes, and formative quizzes prior to the synchronous sessions to learn the fundamental material on the topics.  

The synchronous sessions are divided into lectures, laboratory sessions, and assessment sessions.  The laboratory sessions are meant to introduce students to the computational content and environment, including mock assessments to help them understand the assessment style, common rubrics, and feedback pathways.  

The assessment follows the continuous assessment rules being developed in the department.  

Assessment methods

Method Weight
Other 30%
Written exam 70%

Feedback methods

Exam (70%) - departmental feedback form after the exam board.

Continuous assessment (30%)  - In-session or 1 week after submission.

Recommended reading

Robot Modeling and Control, 2nd Edition, Mark W. Spong, Seth Hutchinson,M. Vidyasagar, John Wiley & Sons, Inc., 2020

Siciliano, B., Sciavicco, L., Vilani, L., & Oriolo, G. (2009). Robotics: Modelling, Planning and Control. In Advanced Textbooks in Control and Signal Processing. Springer-Verlag London. https://doi.org/10.1007/978-1-84628-642-1. 

Study hours

Scheduled activity hours
Assessment practical exam 6
Assessment written exam 3
Lectures 20
Practical classes & workshops 12
Tutorials 10
Independent study hours
Independent study 99

Teaching staff

Staff member Role
Murilo Marinho Unit coordinator
Xiaoxiao Cheng Unit coordinator

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