Course Title: Advanced Robotics for Manufacturing

Part A: Course Overview

Course Title: Advanced Robotics for Manufacturing

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption.

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance:

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.


Course Code




Learning Mode

Teaching Period(s)


City Campus


520T Future Technologies


Sem 2 2022

Course Coordinator: Program Manager

Course Coordinator Phone: +61 3 9925 4468

Course Coordinator Email:

Course Coordinator Location: RMIT City Campus

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This course develops your capabilities in advanced robotics for manufacturing. You will learn the functions of electronics, electrical and mechanical components used in industrial robots and how to safely control movement and operation of robots. Topics covered in this course include, operational amplifiers, integrated circuits, electrical controllers, mechanical arms, production lines, coordinate frame transformations, kinematic analysis of robot design, secure movement of robot arm, and programming. You will also be introduced to digital twinning (the mapping of a physical asset to a digital platform) which is one of the latest technologies to optimise operation of robot stations. It can use data from sensors on the physical asset to analyse its efficiency, condition and real-time status. You will also learn advantages of robotics technologies and possible social impacts.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following program learning outcomes:

1.1. Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area.
1.2. Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area.
1.3. In depth practical knowledge and skills within specialist sub-disciplines of the practice area.
1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the area of practice
2.1. Application of established technical and practical methods to the solution of well-defined engineering problems.
2.2. Application of technical and practical techniques, tools and resources to well defined engineering problems.
3.2. Effective oral and written communication in professional and lay domains.
3.6. Effective team membership and team leadership.

On completion of this course you should be able to:

1. Describe the main functions of components used in the industrial robots
2. Configure a robot station to securely operate electronics, electrical and mechanical components
3. Identify advantages of robotics technologies in the industrial processes and intended social consequences
4. Develop creative and innovative solutions for manufacturing needs using advanced robotics technologies
5. Use digital twin technology to test robotic configuration on a virtual production line
6. Develop and validate an appropriate digital twin framework to optimise manufacturing production lines and reduce commissioning time
7. Design and commission a robot station to efficiently operate a manufacturing system

Overview of Learning Activities

The learning activities included in this course are:

• attendance at lectures where syllabus material will be presented and explained, and the subject will be illustrated with demonstrations and examples;
• completion of tutorial questions, quizzes and laboratory exercises designed to give further practice in the application of theory and procedures, and to give feedback on student progress and understanding;
• completion of practical assignment and project consisting of robotics technologies in the industrial processes to provide further understanding, knowledge and practical applications in the manufacturing industries; and
• private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and numerical problems.

Overview of Learning Resources

You will be able to access course information and learning materials through the course CANVAS. Your
course CANVAS will give you access to important course-related information such as announcements, staff contact details, online lecture notes and exercises, tutorials, assignment, and other learning resources. Access to CANVAS will be instructed in detail during the course introduction session. Lists of relevant reference books and digitalized materials at RMIT libraries will be available as well. You will also use laboratory equipment and computer software within the School for the project work.
You are advised to check your student e-mail account daily for important announcements.

Overview of Assessment

☒ This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).


Assessment 1: Quiz
Weighting towards final grade (%): 20
this task assesses the following course learning outcomes:
PLO 1.1, 1.2, 1.3, 1.6, 2.1, 2.2
CLO 1, 2, 3

Assessment 2: Assignment
Weighting towards final grade (%): 40
this task assesses the following course learning outcomes:
PLO 1.1, 1.2, 1.3, 1.6, 2.1, 2.2, 3.2
CLO 1, 2, 3, 4, 5

Assessment 3: Project and Presentation
Weighting towards final grade (%): 40
this task assesses the following course learning outcomes:
PLO 1.1, 1.2, 1.3, 1.6, 2.1, 2.2, 3.2, 3.6
CLO 1, 2, 3, 4, 5. 6, 7