CQUniversity Unit Profile
ENEX13004 Advanced Dynamics and Robotics
Advanced Dynamics and Robotics
All details in this unit profile for ENEX13004 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This unit will introduce you to advanced dynamics and robotics. You will learn the principle of operation of robotic manipulators, mobile robots, robotic vision systems, forward kinematics and inverse kinematics of robotic manipulators, robot dynamics and control, and programing robots using industry standard software. You will be able to program industrial robots, mobile robots and humanoid robots for a given task. You will also be able to mathematically model robotic manipulators, plan their link and joint trajectories, predict and avoid collision with objects in surrounding environment by fusing information from various sensors attached to the robotic device. Students enrolled in distance mode are required to attend a compulsory Residential School.

Details

Career Level: Undergraduate
Unit Level: Level 3
Credit Points: 6
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Prerequisites: ENEM12010 Engineering Dynamics AND MATH12222 Advanced Mathematical Applications AND ENEE12016 Signals and Systems

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 1 - 2017

Distance
Mackay

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Residential Schools

This unit has a Compulsory Residential School for distance mode students and the details are:
Click here to see your Residential School Timetable.

Class and Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Written Assessment
Weighting: 20%
2. Written Assessment
Weighting: 20%
3. Practical and Written Assessment
Weighting: 20%
4. Portfolio
Weighting: 40%

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Describe rigid body and multi-link motion dynamics, and coordinate system transformation
  2. Apply knowledge of dynamics to analyse robotic systems including robotic manipulators and predict their trajectories
  3. Develop mathematical models for robotic systems
  4. Program industrial robots using industry standard programming software
  5. Predict robot trajectories using multi sensor data fusion techniques
  6. Solve real life problems and communicate professionally using robotic engineering terminology, symbols and diagrams that conform to Australian and international standards
  7. Work individually and collaboratively in teams, communicate professionally in presenting your solutions

Learning outcomes are linked to Engineers Australia Stage 1 Competencies and also discipline capabilities. You can find the mapping for this on the Engineering Undergraduate Course website.

Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7
1 - Written Assessment - 20%
2 - Written Assessment - 20%
3 - Practical and Written Assessment - 20%
4 - Portfolio - 40%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
7 - Cross Cultural Competence
8 - Ethical practice
9 - Social Innovation
10 - Aboriginal and Torres Strait Islander Cultures

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10
1 - Written Assessment - 20%
2 - Written Assessment - 20%
3 - Practical and Written Assessment - 20%
4 - Portfolio - 40%
Textbooks and Resources

Textbooks

Prescribed

Introduction to Robotics: Mechanics & Control Pearson New International Edition

Edition: 3 (2013)
Authors: John J. Craig
Pearson
USA
ISBN: 9781292052526
Binding: Paperback
Supplementary

Robotics, Vision and Control: Fundamental Algorithms in MATLAB

Edition: 1 (2011)
Authors: Peter Corke
Springer
USA
ISBN: 978-3-642-20143-1
Binding: Paperback

Additional Textbook Information

Textbooks

In this unit we will be using materials from different resources to address the important aspects of robotics. The prescribed textbook would be your main resource but not all the chapters will be covered from it during the unit.

The supplementary book will be used to cover mostly the MatLab aspect of the unit. It is not mandatory to buy this book however, it is highly recommended due to its relevance to latest trends in robotics and modelling.

1. The prescribed book is available as an online purchase via: http://www.pearson.com.au/9781292052526

Title: Introduction to Robotics: Mechanics & Control Pearson New International Edition VitalSource eText (3e)

Author: John J. Craig

Edition: 3rd

ISBN: 9781292052526

2. The supplementary book is available for purchase at: http://www.springer.com/gp/book/9783642201431

Title: Robotics, Vision and Control: Fundamental Algorithms in MATLAB

Author: Peter Corke

Edition: 1st (2011) / or latest

ISBN - 978-3-642-20143-1

Published by Springer

The book is also availabe on Amazon:

https://www.amazon.com/Robotics-Vision-Control-Fundamental-Algorithms/dp/3642201431/ref=as_sl_pc_tf_til?tag=petercorke05-20&linkCode=w00&linkId=bf0c2242fd360a50aec0fb29ff2a0321&creativeASIN=3642201431

Software

1. MatLab with Robotics Toolbox and Vision Toolbox

(Please note that these toolboxes and the instructions on how to install them are available at the following URLs.

http://www.petercorke.com/RTB/

http://www.petercorke.com/MVTB/

For those who don’t already have MatLab can buy student edition from this link:

https://au.mathworks.com/academia/student_version/?s_tid=tb_sv

2. Autodesk Inventor (or any other 3D modelling software)

(We will use the software for just a couple of topics in the unit. It would however introduce you to a professional software for 3D solid modelling. You can check if the software is available free of charge for students at the following site. You may need to create an account using cqu mail)

http://www.autodesk.com/education/free-software/inventor-professional?_ga=1.113196420.1238353875.1479429906

3. ROS Indigo with Python and C++ (rospy and roscpp)

(It is desired that you become familiar with ROS in this unit as we will use it to interact with Baxter robots. You can keep both operating systems Ubuntu and Windows in your computers. Another way is to use Ubuntu virtual box on windows to run ROS.

http://wiki.ros.org/win_ros/Tutorials/WinRos%20and%20Virtual%20Ubuntu

ROS is freeware and is available at..)

http://wiki.ros.org/roscpp

http://wiki.ros.org/rospy

4. Robotino SIM

(For 3D simulation – basic level - of Robotino. Available at the following website)

http://www.festo-didactic.com/int-en/services/robotino/simulation/?fbid=aW50LmVuLjU1Ny4xNy4zNC4xNDQy

5. Robotino View 3

(For programming of Robotino. Available at the following website)

http://www.festo-didactic.com/int-en/services/robotino/programming/robotino-view/?fbid=aW50LmVuLjU1Ny4xNy4zNC4xNDI2

> Queries about the above software can be directed to me (unit coordinator) at u.izhar@cqu.edu.au

IT

1. CQ University Email

2. Internet

3. Course website (Moodle)

4. Windows PC with USB and LAN ports

5. PC with listed software installed

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Computer with windows 7, camera / web camera for images, usb port
  • Software access as per the description under Software section
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Umer Izhar Unit Coordinator
u.izhar@cqu.edu.au
Schedule
Week 1 Begin Date: 06 Mar 2017

Module/Topic

Robots, Joints, and Degrees of Freedom

Chapter

Chapter 1 (Introduction to Robotics by J. J. Craig)

Chapter 2 (CRO - Design of Machinery by R.L. Norton)

Lecture Slides

Events and Submissions/Topic

3D print / 2D print axis for reference

Week 2 Begin Date: 13 Mar 2017

Module/Topic

Robot Spatial Descriptions and Transformations - I

Chapter

Chapter 2 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Week 3 Begin Date: 20 Mar 2017

Module/Topic

Robot Spatial Descriptions and Transformations - II and Forward Kinematics

Chapter

Chapter 2 and 3 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Week 4 Begin Date: 27 Mar 2017

Module/Topic

Forward Kinematics

Chapter

Chapter 3 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Week 5 Begin Date: 03 Apr 2017

Module/Topic

Inverse Kinematics

Chapter

Chapter 4 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Written Assessment 1 Due: Week 5 Friday (7 Apr 2017) 4:00 pm AEST
Vacation Week Begin Date: 10 Apr 2017

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 17 Apr 2017

Module/Topic

Programming Robots

Chapter

Chapter 12 (Introduction to Robotics by J. J. Craig)

Study Guide

Lecture Slides

Events and Submissions/Topic

Week 7 Begin Date: 24 Apr 2017

Module/Topic

Manipulator Trajectory

Chapter

Chapter 7 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Week 8 Begin Date: 01 May 2017

Module/Topic

Mobile Robots

Chapter

Chapter 4 (Robotic Vision and Control by Peter Corke)

Lecture Slides

Events and Submissions/Topic

Submit Labs 1 and 2

(1/2 of Practical and Written Assessment)

Due Friday (05 May 17) 04:00 PM AEST

Week 9 Begin Date: 08 May 2017

Module/Topic

Image Processing and Robot Navigation

Chapter

Chapter 12 and 13 - Image Processing

Chapter 5 - Navigation

(Robotic Vision and Control by Peter Corke)

Lecture Slides

Events and Submissions/Topic

Week 10 Begin Date: 15 May 2017

Module/Topic

3D CAD Modeling of Robot Links

Chapter

Study Guide

Lecture Slides / Video

Events and Submissions/Topic

Written Assessment 2 Due: Week 10 Friday (19 May 2017) 4:00 pm AEST
Week 11 Begin Date: 22 May 2017

Module/Topic

Manipulator Mechanism Design

Chapter

Chapter 8 (Introduction to Robotics by J. J. Craig)

Lecture Slides

Events and Submissions/Topic

Week 12 Begin Date: 29 May 2017

Module/Topic

Miscellaneous Topics and Revision

Chapter

Lecture Slides

Events and Submissions/Topic

Submit Labs 3 and 4

(2/2 of Practical and Written Assessment)

Due Monday (02 Jun 17) 04:00 PM AEST

Review/Exam Week Begin Date: 05 Jun 2017

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 12 Jun 2017

Module/Topic

Chapter

Events and Submissions/Topic

Portfolio Due: Exam Week Monday (12 June 2017) 4:00 pm AEST
Term Specific Information

In this unit we will be using materials from different resources to address the important aspects of robotics. It is highly recommended that you read information about the textbooks and software, given under textbook and resources tab. Further guidelines about the course in general can be found on Moodle course website. Students are advised and encouraged to use Q&A forum for queries about assignments, labs, software etc.

The labs and practicals are an essential part of this unit and are therefore mandatory for all students. For that matter a mandatory residential school is arranged (refer residential school schedule and course website for dates) for flex students. This residential school will be held at Mackay, Ooralea campus.

Assessment Tasks

1 Written Assessment

Assessment Title
Written Assessment 1

Task Description

This assessment would cover the topics from first four weeks of this unit and will consist of numerical problems. The assessment criteria would be provided with the questions well before the submission date and would be strictly followed. The students are not expected to use word editor for this task, instead they can scan a clear and legible handwritten document and submit it as a pdf file. Some questions however, require scripting and coding in MatLab, so students have to include the script with necessary script output in the submission.


Assessment Due Date

Week 5 Friday (7 Apr 2017) 4:00 pm AEST


Return Date to Students

In 2 weeks of submission


Weighting
20%

Assessment Criteria

1. Correct Answers,

2. Correct format of the questions and the submission itself (cover page, page orientation and numbering, file name etc.)

3. All working must be shown to obtain full marks,

4. Assignment answers must be neat, tidy and legible.

5. Computer codes should be properly commented and formatted.


Referencing Style

Submission
Online

Submission Instructions
One pdf file including solutions, any handwritten data, code and its output (if required).

Learning Outcomes Assessed
  • Describe rigid body and multi-link motion dynamics, and coordinate system transformation
  • Apply knowledge of dynamics to analyse robotic systems including robotic manipulators and predict their trajectories
  • Develop mathematical models for robotic systems


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Technology Competence

2 Written Assessment

Assessment Title
Written Assessment 2

Task Description

This assessment would cover the topics inverse kinematics and mobile robots and will consist of numerical problems. The assessment criteria would be provided with the questions well before the submission date and would be strictly followed. The students are not expected to use word editor for this task, instead they can scan a clear and legible handwritten document and submit it as a pdf file. Some questions however, require scripting and coding in MatLab, so students have to include the script with necessary script output in the submission.


Assessment Due Date

Week 10 Friday (19 May 2017) 4:00 pm AEST


Return Date to Students

Within 2 weeks after due date


Weighting
20%

Assessment Criteria

1. Correct Answers,

2. Correct format of the questions and the submission itself (cover page, page orientation and numbering, file name etc.)

3. All working must be shown to obtain full marks,

4. Assignment answers must be neat, tidy and legible.

5. Computer codes should be properly commented and formatted.


Referencing Style

Submission
Online

Submission Instructions
One pdf file including solutions, any handwritten data, code and its output (if required).

Learning Outcomes Assessed
  • Describe rigid body and multi-link motion dynamics, and coordinate system transformation
  • Apply knowledge of dynamics to analyse robotic systems including robotic manipulators and predict their trajectories
  • Develop mathematical models for robotic systems


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Technology Competence

3 Practical and Written Assessment

Assessment Title
Practical and Written Assessment

Task Description

This assessment corresponds to computer lab sessions and practicals with robots covering almost all topics in the unit such as robot kinematics, image processing and navigation techniques etc. You will need to use Robotics and Vision toolboxes in Matlab to complete the labs. Supervised labs with practice exercises will be held in the lab time as directed by unit website or unit coordinator.

The submission is distributed in two chunks, you have to submit labs 1 and 2 by week 8 and labs 3 & 4 by week 12. The details of these labs/practicals will be available from the unit Moodle website at the start of the term. The lab and practicals are compulsory (you need to pass these to pass the unit) for every student, for this reason Residential school is scheduled for distance students.

The lab reports have to be submitted individually and no team report will be accepted.


Assessment Due Date

Labs 1-2 (Week 8 - Friday 16:00 AEST), Labs 3-4 (Week 12 - Monday 16:00 AEST)


Return Date to Students

Within 2 weeks after due date


Weighting
20%

Minimum mark or grade
Combined marks of Labs 1 to 4 need to be 50% or more to pass the unit.

Assessment Criteria

1. Correct answers including plots and figures,

2. Readability and flow of the code (should be neat, tidy, and legible),

3. Computer codes should be properly commented and formatted.

4. Combined marks of Labs 1 to 4 need to be 50% or more to pass the unit.


Referencing Style

Submission
Online

Submission Instructions
One pdf file including solutions, any handwritten data, code and its output (if required).

Learning Outcomes Assessed
  • Program industrial robots using industry standard programming software
  • Predict robot trajectories using multi sensor data fusion techniques
  • Solve real life problems and communicate professionally using robotic engineering terminology, symbols and diagrams that conform to Australian and international standards
  • Work individually and collaboratively in teams, communicate professionally in presenting your solutions


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Team Work
  • Information Technology Competence
  • Cross Cultural Competence
  • Ethical practice

4 Portfolio

Assessment Title
Portfolio

Task Description

The portfolio assessment in this unit corresponds mainly to the project and its report. You will propose your own or choose from sample projects (a list of ideas will be given with the assessment instructions on Moodle website) that will be due in the Exam week.

Portfolio / Report Requirements

1. You are allowed to work in groups of 2 to 3.

2. Portfolio will be individually submitted highlighting the individual's contribution (one portfolio per group is not allowed)

The project report should at least contain the following:

1. You will document all the assumptions, design details, code files, and results in the project report.

2. The project report should also include the evidence of at least one activity related to each learning outcome of the unit. You will be required to include a matrix showing that you addressed the learning outcome at a specific location in the report.

3. The report / portfolio should clearly indicate the individual work and contribution in the team project.


Assessment Due Date

Exam Week Monday (12 June 2017) 4:00 pm AEST


Return Date to Students

Within 2 weeks after due date


Weighting
40%

Minimum mark or grade
50% marks required to pass the unit

Assessment Criteria

The portfolio will be assessed using the rubrics provided on Moodle unit website. The details are given in the rubrics however the components that will be evaluated are broadly presented here:

1. Research and investigation of the topic, scoping

2. Technical Design

3. Use of modern tools (software, hardware)

4. Project work addresses unit learning outcomes

5. Output and Results

6. 50% grade is required to pass the unit


Referencing Style

Submission
Online

Submission Instructions
One folder containing pdf report and software code with any other video file / output file

Learning Outcomes Assessed
  • Describe rigid body and multi-link motion dynamics, and coordinate system transformation
  • Apply knowledge of dynamics to analyse robotic systems including robotic manipulators and predict their trajectories
  • Develop mathematical models for robotic systems
  • Program industrial robots using industry standard programming software
  • Predict robot trajectories using multi sensor data fusion techniques
  • Solve real life problems and communicate professionally using robotic engineering terminology, symbols and diagrams that conform to Australian and international standards
  • Work individually and collaboratively in teams, communicate professionally in presenting your solutions


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Team Work
  • Information Technology Competence
  • Cross Cultural Competence
  • Ethical practice

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?