Robotics and Digital Twin | Units of study... | Swinburne University of Technology

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EAT10013 12.5 Credit Points

Duration

One semester

Contact hours

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit of study aims to cover the skills and knowledge required to design and commission a robotic engineering system and optimise the system using digital twin. The student will learn to plan, install, operate, program and test an engineering system and validate the system using digital twin.

Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:

1. Apply appropriate robotic mechanics principles to design an Engineering System.

2. Develop an entrepreneurial mindset and skill set to bring products to market.

3. Evaluate the social impact of a human-robot collaborative interface.

4. Design and safely commission a robotic system using appropriate modelling and analytical approaches in a collaborative manner.

5. Optimise an Engineering System using a digital twin as a group.

Courses with unit

Associate Degree of Applied Technologies (AB-APPTEC)

Unit information in detail

- Assessment, general skills outcomes and content.

Assessment

Types	Individual or Group task	Weighting	Assesses attainment of these ULOs
Case study	Individual	10-20%	2,3,5
Progressive Test	Individual	20-30%	1
Project	Group	40-60%	1,2,3,4,5
Work Portfolio	Group	10-20%	1,2,3,4,5

General skills outcomes

• Communication Skills

• Cognitive Skills

• Ability to Tackle Unfamiliar Problems

• Initiative and enterprise Skills

• Teamwork Skills

• Self-management Skills

• Creative Skills

Content

Robotics

• Robot Mechanics

• Kinematics

• Dynamics

• Trajectory generation

Commissioning

Planning

• Design the robot work cell

• Follow established safety procedures

• Specifications

Installation

• Specifications

• Safety requirements of a robot

• Interface sensors and peripherals to a robot

Operation and Interfacing

• Programming

• Interfacing collaboration between human and robot

• Interface to Vision Systems

Testing

• Testing collaboration between human and robot

• Performance testing

• Completion and reporting commissioning activities

Digital twin (Product Oriented)

• Planning, testing and validation of a product using simulation tools

• Permanent tracing of all production data from the real product

• Identification of problems during development and manufacture of the product

• System Optimization of a cyber-physical system

Entrepreneurship

• Introduction to the fundamentals of entrepreneurship

• Entrepreneurial thinking with attention to entrepreneurial mindset, entrepreneurial motivations, and entrepreneurial behaviours

• Recognize entrepreneurial opportunities based on market conditions and industry factors

• Approaches to understanding customers, and developing compelling solutions which could be taken to the market

Social Impact

• Introduction to social impact

Industry 4.0 and its social impact

Study resources

- References.

References

Simcenter for Predictive Engineering Analytics :-On-demand Webinar Series

Engineering Analysis with NX Advanced Simulation By P. Goncharov, I. Artamonov, T. Khalitov

Introduction to Robotics Module: Trajectory generation and robot programming

http://www.easy-rob.com/uploads/media/LectureRobotics.pdf

The Automation Book, A world of solutions https://www.lcautomation.com/dbdocument/12082/Automation%20Book.pdf

The Library has a large collection of resource materials, both texts and current journals. It is also recommended that you explore other sources to broaden your understanding.