METR4202 - Sem 2 2009 - St Lucia - Internal

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1. General Course Information

1.1 Course Details

Course Code: METR4202 Course Title: Advanced Control & Robotics
Coordinating Unit: School of Information Technology and Electrical Engineering
Semester: Semester 2, 2009    Mode: Internal
Level: Undergraduate
Location: St Lucia
Number of Units: 2    Contact Hours Per Week: 2L1T2P
Pre-Requisites: METR3200
Incompatible: METR4200 or METR7201 or 7202
Course Description: Modern control & robotic techniques for use in practical applications. Coverage of advanced control methodologies & intelligent robotic systems.
Assumed Background: Knowledge of control system modelling and design from METR3200. Knowledge of matrices and differential equations from maths study.

1.2 Course Introduction

This course teaches how to design and control multi-link robot arms. Robot arms require specialised mathematical technqiues to solve the complex geometrical problems of calculating the correct postions and speeds to drive the robot motors in order to move the arm in the desired manner. In the first part of the course you will use these techniques to design and control a robot arm that you will build yourself from LEGO components.  In the second part of the course you will learn how to design controllers using advanced control techniques. You will apply your new design techniques to the control of a Series Elastic Actuator - a new type of intrinsically safe robot actuator. The controller design methods are applicable to a range of challenging design problems in industrial and research settings.


1.3 Course Staff

Course Coordinator:  Gordon Wyeth
Phone: 53770     Email: g.wyeth@uq.edu.au Homepage: www.itee.uq.edu.au/~wyeth
Campus: St Lucia Building: Axon Building (Map)   Room: 302
Consultation:

The course coordinator will be available for brief consultations at all lectures and tutorials. Other consultation is available by appointment only. Email g.wyeth@uq.edu.au to arrange an appointment time.



1.4 Timetable

Timetables are available on mySI-net.

Additional Timetable Information
No lecture in Week 3 due to Exhibition Day public holiday.

2. Aims, Objectives & Graduate Attributes

2.1 Course Aims

Upon completing this course you should be able to develop algorithms to control complex robot structures in terms of position, velocity and force. You should be aware of how mechanical choices in robot design can effect the efficiency and quality of the control algorithms for the robot. You should be able to apply the advanced control techniques that you will learn in the context of robotics to a range of control engineering problems in both industry and research. You should have practical skills in development of robot algorithms and control systems using industry standard tools and programming languages.

2.2 Learning Objectives

After successfully completing this course you should be able to:


1. ROBOTICS
1.1  Model and analyse robotic manipulators.
1.2  To design, model and control a robotic arm.

2. CONTROL
2.1  Design linear multivariable control systems in industry or perform research in multivariable and/or nonlinear control methods.
2.2  Carry out laboratory control experiments based on the MathWorks Matlab/Simulink platform.

2.3. Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
A. IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.1.1, 1.2, 2.1, 2.2
A4. An understanding of how other disciplines relate to the field of study. 
A5. An international perspective on the field of study. 
B. EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.1.1, 1.2, 2.1, 2.2
B2. The ability to interact effectively with others in order to work towards a common outcome.1.2, 2.1, 2.2
B3. The ability to select and use the appropriate level, style and means of communication.1.1, 1.2, 2.1
B4. The ability to engage effectively and appropriately with information and communication technologies.1.1, 1.2, 2.1, 2.2
C. INDEPENDENCE AND CREATIVITY
C1. The ability to work and learn independently.1.1, 1.2, 2.1, 2.2
C3. The ability to generate ideas and adapt innovatively to changing environments.1.2
C4. The ability to identify problems, create solutions, innovate and improve current practices.1.1, 1.2, 2.1, 2.2
D. CRITICAL JUDGEMENT
D1. The ability to define and analyse problems.1.1, 1.2, 2.1, 2.2
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.1.1, 1.2, 2.1, 2.2
D3. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions.1.1, 1.2, 2.1, 2.2
E. ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.1.1
E2. An appreciation of the philosophical and social contexts of a discipline. 
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study. 
E5. A knowledge of other cultures and times and an appreciation of cultural diversity. 

Successfully completing this course will contribute to the recognition of your attainment of the following Engineers Australia graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
1. Ability to apply knowledge of basic science and engineering fundamentals1.1, 1.2, 2.1, 2.2
2. Ability to communicate effectively, not only with engineers, but also with the community at large1.2
3. In-depth technical competence in at least one engineering discipline1.1, 1.2, 2.1, 2.2
4. Ability to undertake problem identification, formulation and solution1.1, 1.2, 2.1, 2.2
5. Ability to utilise a systems approach to design and operational performance1.1, 1.2, 2.1, 2.2
6. Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a team leader or manager as well as an effective team member1.2, 2.2
7. Understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and for the need for sustainable development 
8. Understanding of the principles of sustainable design and development 
9. Understanding of and commitment to professional and ethical responsibilities 
10. Expectation and capacity to undertake life-long learning 

3. Learning Resources

3.1 Required Resources

1. Control Systems Engineering 5e (Prescribed)
N.S. Nise, Wiley, 2008
UQ Library: TJ213 .N497 2008    
URL
 
Robot Modeling and Control (Prescribed)
M.W. Spong, S. Hutchinson and M. Vidyasagar, Wiley, 2005
URL
 

3.3 University Learning Resources

Access to required and recommended resources, plus past central exam papers, is available at the UQ Library website (http://library.uq.edu.au/search/r?SEARCH=METR4202).

The University offers a range of resources and services to support student learning. Details are available on the myServices website (https://student.my.uq.edu.au/).

3.4 School of Information Technology and Electrical Engineering Learning Resources

Students enrolled at St Lucia who wish to retain a hard copy of this profile can use the free print quota provided each semester to students enrolled in courses in the School of Information Technology & Electrical Engineering. For information on how to use this print quota, see the School Policy on Student Photocopying and Printing (St Lucia) (http://www.itee.uq.edu.au/about_ITEE/policies/copy-print.html).

ITEE course websites can be found at http://www.itee.uq.edu.au/~COURSECODE. Many ITEE courses also have Usenet newsgroups, named uq.itee.COURSECODE. Instructions for accessing newsgroups are available at http://studenthelp.itee.uq.edu.au/faq/1stYearFAQ.html#accessnews.

4. Teaching & Learning Activities

4.1 Learning Activities

Date
Activity
Learning Objectives
Reading
29 Jul 09
Lecture 1 (Lecture): Course overview, Introduction to robotics
1.1
Spong ;
3 Aug 09 - 11 Sep 09
Robot Arm (Practical): Design, build and control a robot arm.
1.2
Spong ;
3 Aug 09 - 11 Sep 09
Robotics tutorials (Tutorial Series):
1.1, 1.2
5 Aug 09
Lecture 2 (Lecture): Rotations; Homogeneous Transforms
1.1, 1.2
Spong (Chapter 2);
19 Aug 09
Lecture 3 (Lecture): DH parameters; Forward Kinematics; Inverse Kinematics
1.1, 1.2
Spong (Sections 3.1 - 3.3);
26 Aug 09
Lecture 4 (Lecture): Trajectory Planning
1.1, 1.2
Spong (Section 5.5);
2 Sep 09
Lecture 5 (Lecture): Jacobian; Static Force Modelling
1.1, 1.2
Spong (Chapter 4);
9 Sep 09
Mid-semester Exam (Exam): Exam on robot manipulator analysis and design.
1.1, 1.2
Spong (Chapter 7);
14 Sep 09 - 30 Oct 09
Series Elastic Actuator (Practical): Control a series elastic actuator. Multi-week assignment.
2.2
Nise ; Spong ;
14 Sep 09 - 30 Oct 09
Control tutorials (Tutorial Series):
2.1
16 Sep 09
Lecture 6 (Lecture): Frequency response techniques
2.1
Nise (Chapter 10);
23 Sep 09
Lecture 7 (Lecture): Design via Frequency Response
2.1
Nise (Chapter 11);
7 Oct 09
Lecture 8 (Lecture): State space modelling
2.1
Nise (Chapter 3);
14 Oct 09
Lecture 9 (Lecture): State space controller design
2.1
Nise (Sections 12.1 - 12.4); Spong (Section 6.6.1);
21 Oct 09
Lecture 10 (Lecture): State space observer design
2.1
Nise (Sections 12.5 - 12.7); Spong (Section 6.6.2);
28 Oct 09
Lecture 11 (Lecture): Digital Control
2.1
Nise (Chapter 13);

5. Assessment

5.1 Assessment Summary

This is a summary of the assessment in the course. For detailed information on each assessment, see 5.5 Assessment Detail below.

Robot Arm  
Assessment Task
Due Date
Weighting
Learning Objectives
Demonstration
Robot Arm Demonstration
Demonstrate during regular prac session in Week 7.
10%
1.2
Laboratory Report
Robot Arm Report
Due by 5pm on the day following the demonstration.
15%
1.1, 1.2

Series Elastic Actuator  
Assessment Task
Due Date
Weighting
Learning Objectives
Laboratory Report
Series Elastic Actuator Report
Due by 5pm on the day following the demonstration.
15%
2.1, 2.2
Exam - during Exam Period (School)
Series Elastic Actuator Demo (Practical Exam)
Examination Period
10%
2.1, 2.2

Exams  
Assessment Task
Due Date
Weighting
Learning Objectives
Exam - Mid Semester During Class
Robotics Exam
9 Sep 09 10:00
20%
1.1, 1.2
Exam - during Exam Period (Central)
Control Theory Exam
Examination Period
30%
2.1

5.2 Course Grading


Grade 1, Fail: Fails to demonstrate most or all of the basic requirements of the course:

Total marks between 0 and 19.



Grade 2, Fail: Demonstrates clear deficiencies in understanding and applying fundamental concepts; communicates information or ideas in ways that are frequently incomplete or confusing and give little attention to the conventions of the discipline:

Total marks between 20 and 44.



Grade 3, Fail: Demonstrates superficial or partial or faulty understanding of the fundamental concepts of the field of study and limited ability to apply these concepts; presents undeveloped or inappropriate or unsupported arguments; communicates information or ideas with lack of clarity and inconsistent adherence to the conventions of the discipline:

Total marks between 45 and 49.



Grade 4, Pass: Demonstrates adequate understanding and application of the fundamental concepts of the field of study; develops routine arguments or decisions and provides acceptable justification; communicates information and ideas adequately in terms of the conventions of the discipline:

Total marks between 50 and 64.



Grade 5, Credit: Demonstrates substantial understanding of fundamental concepts of the field of study and ability to apply these concepts in a variety of contexts; develops or adapts convincing arguments and provides coherent justification; communicates information and ideas clearly and fluently in terms of the conventions of the discipline:

Total marks between 65 and 74.



Grade 6, Distinction: As for 5, with frequent evidence of originality in defining and analysing issues or problems and in creating solutions; uses a level, style and means of communication appropriate to the discipline and the audience:

Total marks between 75 and 84.



Grade 7, High Distinction: As for 6, with consistent evidence of substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem solving approaches; critically evaluates problems, their solutions and implications:

Total marks between 85 and 100.


5.3 Late Submission

Students must attend their demonstrations to receive marks for the demonstration. Students with unexplained absences will receive no marks for demonstrations.

The reports are to be submitted in the hand-in box in GP-South. The box will be cleared at 5pm sharp on the hand-in day. The box will be cleared a second time at 5pm sharp on the day following the hand-in day, however reports collected at this time will receive half of the assigned marks i.e. a report receiving 10/15 will be penalised for late hand-in to 5/15. Reports submitted after the second box clearance will not be accepted for marking, and no marks will be awarded. In summary, 0 - 24 hours late means half marks, > 24 hours late means no marks.

No extensions will be granted except in exceptional personal circumstances (documented medical reason or family emergency). Personal hardware or computer failures are not grounds for extension.

5.5 Assessment Detail


Robot Arm Demonstration
Type: Demonstration
Learning Objectives Assessed: 1.2
Due Date:
         Demonstrate during regular prac session in Week 7.
Weight: 10%
Task Description:

Demonstrate the robot arm in the laboratory during the regular practical session in Week 7.


Criteria & Marking:
The mark for Robot Arm is attributed to the robot's performance on the final contest day. Your robot must perform on the day to achieve a good mark. Each robot will be judged on its merits - not just on how highly it ranks in the competition. In the context of the whole subject, it is valued at 10% of your final mark. Your individual marks may vary from the group's average depending on your knowledge of the system as determined by questions asked using the contest. The following breakpoints show typical marks for robots of various competencies.

Excellent (85-100%):

Your robot consistently performs the assembly task in under 45 seconds. For every pick or place operation the robot touches the centre of the target block firmly but gently. The assembly operation is performed in the correct sequence. The robot avoids all other blocks while performing its operations. The tool point motion is smooth. Your design features clear and effective innovation. You can answer all questions quickly and confidently.

Very Good (75-84%):

Your robot consistently performs the assembly task in under 60 seconds. For every pick or place operation the robot touches the target block. The assembly operation is performed in the correct sequence. The robot avoids all other blocks while performing its operations. The tool point motion is smooth. Your design features some innovation. You can answer all questions.

Good (65-74%):

Your robot consistently performs the assembly task in under 90 seconds. For most pick or place operations, the robot touches the target block. The assembly operation is performed in mostly the correct sequence. The robot avoids most other blocks while performing its operations. The tool point motion is a little shaky. Your design features some innovation. You can answer all questions.

Satisfactory (50-64%):

Your robot consistently performs the assembly task in under 120 seconds. For some pick or place operations, the robot touches the target block. The assembly operation is performed in generally the correct sequence. The robot avoids most other blocks while performing its operations. The tool point motion is shaky. You can answer most questions.

Conceded Pass (45-49%):

Your robot can perform the assembly task in under 120 seconds. For at least one pick or place operations, the robot touches the target block. The assembly operation is performed in generally the correct sequence. The tool point motion is shaky. You can answer most questions.

Poor (20-44%):

Your robot can not perform the assembly task in under 120 seconds. The robot cannot touch the target block for any pick or place operations. The assembly operation is performed out of sequence. The tool point motion is very shaky. You can answer some questions.

Very Poor (0-19%):

You did not submit a robot or submitted a robot that never had a chance of performing the task on the competition day. Can't answer any questions.


Robot Arm Report
Type: Laboratory Report
Learning Objectives Assessed: 1.1, 1.2
Due Date:
         Due by 5pm on the day following the demonstration.
Weight: 15%
Task Description: Jointly written 15 page report on the solution to the Robot Arm design practical experiment, including theoretical grounding, design basis, experimental results and discussion. Details of the report format are availble for dowload from the course web page.

Criteria & Marking: The report will be marked based on the criteria itemised on the Robot Arm Report Mark Sheet available for download from the course web page.

Submission: The report is to be submitted in the hand-in box in GP-South. The box will be cleared at 5pm sharp on the hand-in day. The box will be cleared a second time at 5pm sharp on the day following the hand-in day, however reports collected at this time will receive half of the assigned marks i.e. a report receiving 10/15 will be penalised for late hand-in to 5/15. Reports submitted after the second box clearance will not be accepted for marking, and no marks will be awarded.
In summary, 0 - 24 hours late means half marks, > 24 hours late means no marks.



Series Elastic Actuator Report
Type: Laboratory Report
Learning Objectives Assessed: 2.1, 2.2
Due Date:
         Due by 5pm on the day following the demonstration.
Weight: 15%
Task Description: Jointly written 15 page report on the solution to the Series Elastic Actuator practical design problem, including theoretical grounding, design basis, experimental results and discussion. Details of the report format are available for dowload from the course web page.

Criteria & Marking: The report will be marked based on the criteria itemised on the Series Elastic Actuator Report Mark Sheet available for download from the course web page.


Series Elastic Actuator Demo (Practical Exam)
Type: Exam - during Exam Period (School)
Learning Objectives Assessed: 2.1, 2.2
Due Date:
         Examination Period
Weight: 10%
Duration: 30 minutes
Format: Practical
Task Description:

Demonstration of the Series Elastic Actuator control implementation.


Criteria & Marking:

The demonstration will be marked based on the criteria itemised on the Series Elastic Actuator Demonstration Mark Sheet available for download from the course web page.



Robotics Exam
Type: Exam - Mid Semester During Class
Learning Objectives Assessed: 1.1, 1.2
Due Date:
         9 Sep 09 10:00
Weight: 20%
Perusal: 5 minutes
Duration: 100 minutes
Format: Problem solving
Task Description:

Multi-part system design problem covering material from throughout I. The examination is open book. Any books, handwritten notes, drawing instruments, and calculators are allowed.


Criteria & Marking: Marks are assigned as indicated on exam paper. Explanations of steps used are essential, and will be carefully accounted for in assessment. Best marks are awarded to numerically correct solutions, but partial credit will be given to partially complete solutions or incorrect solutions where errors have carried through the calculations.

Control Theory Exam
Type: Exam - during Exam Period (Central)
Learning Objectives Assessed: 2.1
Due Date:
         Examination Period
Weight: 30%
Perusal: 10 minutes
Duration: 120 minutes
Format: Problem solving
Task Description:

Multi-part system design problem covering material from throughout II. The examination is open book. Any books, handwritten notes, drawing instruments, and calculators are allowed.


Criteria & Marking: Marks are assigned as indicated on exam paper. Explanations of steps used are essential, and will be carefully accounted for in assessment. Best marks are awarded to numerically correct solutions, but partial credit will be given to partially complete solutions or incorrect solutions where errors have carried through the calculations.

6. Policies & Guidelines

 
This section contains the details of and links to the most relevant policies and course guidelines. For further details on University Policies please visit myAdvisor and the University Handbook of Policies and Procedures.

6.1 Assessment Related Policies and Guidelines

University Policies & Guidelines

An overview of the University’s assessment-related policies can be found on myAdvisor (http://www.uq.edu.au/myadvisor/index.html?page=2910).

Academic Integrity
It is the University's task to encourage ethical scholarship and to inform students and staff about the institutional standards of academic behaviour expected of them in learning, teaching and research. Students have a responsibility to maintain the highest standards of academic integrity in their work. Students must not cheat in examinations or other forms of assessment and must ensure they do not plagiarise.

Plagiarism
The University has adopted the following definition of plagiarism:

Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.

Students are encouraged to read the UQ Academic Integrity and Plagiarism policy (http://www.uq.edu.au/hupp/index.html?page=25128) which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.

Feedback on Assessment
Feedback is essential to effective learning and students can expect to receive appropriate and timely feedback on all assessment. For a detailed explanation of the feedback you are entitled to, you should consult the policy on Student Access to Feedback on Assessment. (http://www.uq.edu.au/hupp/index.html?page=25109)

As a student you have a responsibility to incorporate feedback into your learning; make use of the assessment criteria that you are given; be aware of the rules, policies and other documents related to assessment; and provide teachers with feedback on their assessment practices.

There are certain steps you can take if you feel your result does not reflect your performance. Please refer to the myAdvisor web site. (http://www.uq.edu.au/myadvisor/index.html?page=2953)

School of Information Technology and Electrical Engineering Assessment Guidelines

Misconduct

Further to the statement on academic integrity and plagiarism above, students are required to read and understand the ITEE policy on Student Misconduct (http://www.itee.uq.edu.au/about_ITEE/policies/student-misconduct.html).

Late Arrival or Non-attendance at Examinations

The policy and procedure for late arrival or non-attendance at centrally controlled and school-based examinations is set out in the University's Assessment policy (HUPP 3.30.1), section 4.8 at http://www.uq.edu.au/hupp/index.html?page=25109.

In the case that a student requests a special exam for a School-controlled exam, the request will be considered and, if allowed, the timing shall be determined by the course coordinator, in consultation with the School's Chief Examiner where necessary, and in accordance with HUPP 3.30.1. Unless otherwise indicated in the Course Profile, applications must be made in writing to the Head of School no later than 5 days after the exam. Late applications will not be accepted.
 
Examination Feedback
 
In addition to the advice above, students wishing to view examination answer scripts and/or question papers should consult with the School office (Room 217, General Purpose South Building [78], St Lucia) regarding arrangements. The ITEE policy on exam script viewing is available at http://study.itee.uq.edu.au/current_students/exam_script_viewing.html.

Supplementary Assessment

If you fail this course you may be eligible for supplementary assessment - see the general award rules and/or your program rules for details. You should note that even though you may be eligible for supplementary assessment under these rules, in some circumstances there may be no practical assessment that can be offered to allow you to meet the minimum passing requirements. These circumstances may include failure based on:
  • group or team based assessment;
  • attendance or class participation requirements;
  • laboratory-based assessment, where laboratories can't practically be made available after classes have finished;
  • project or thesis-based assessment, where a significant period of time would be required to undertake supplementary assessment;
  • progressive assessment, where subsequent assessment items build on earlier assessment items; or
  • multiple assessment items, where it is impractical to offer multiple supplementary assessment items.
If the course coordinator determines that there is no practical supplementary assessment that can be offered to allow you to improve your grade, then you will not be offered supplementary assessment and your grade will remain unchanged.


Calculators in Examinations

Some examinations in the School of Information Technology and Electrical Engineering restrict the type of calculator that can be used. If this course profile does not specify any calculator restrictions, you should check with the course coordinator as to whether any restrictions apply. In some examinations, you may only be permitted to use an EPSA/EAIT approved and labelled non-programmable calculator. It is your responsibility to ensure you have a suitable approved and labelled calculator if required.

6.2 Other Policies and Guidelines

University Policies and Guidelines

Placement Courses
Students on a placement course – also known as a work placement, internship, industry study, industry experience, clinical practice, clinical placement, practical work, practicum, fieldwork, teaching practice – should refer to the University policy, Placement Courses (http://www.uq.edu.au/hupp/index.html?page=25120) for detailed information.
 
Working with Children
Students whose studies include a professional/work placement, internship, clinical practice, teaching practice or other similar activity which involves them in regular contact with children should refer to the University policy, Working with Children Check - "blue card" (http://www.uq.edu.au/hupp/index.html?page=25004) to find out how to apply for a ‘blue card’.
 
Students with a Disability
Any student with a disability who may require alternative academic arrangements, including assessment, in the course/program is encouraged to seek advice at the commencement of the semester from a Disability Adviser at Student Support Services. Refer to the University policy, Students with a Disability (Disability Action Plan) (http://www.uq.edu.au/hupp/index.html?page=25122) and to the policy on Special Arrangements for Examinations for Students with a Disability (http://www.uq.edu.au/hupp/index.html?page=25111

Where an adjustment is made to an accredited program, it is the responsibility of the relevant Faculty to liaise with professional and registration bodies regarding the acceptability of the change/s.  

Occupational Health and Safety
Undergraduate Students (http://www.uq.edu.au/hupp/index.html?page=25055) and Postgraduate Students (http://www.uq.edu.au/hupp/index.html?page=25057) should be familiar with the University policies on occupational health and safety in the laboratory.

Other School of Information Technology and Electrical Engineering Guidelines

Ethical Clearance
If your course involves assignment or project work involving human subjects or human-related materials, you must investigate the need for ethical clearance and obtain it when required. Information on ethical clearance can be found at http://www.uq.edu.au/research/orps/index.html?page=5064&pid=5256.

Learning Summary

 

Below is a table showing the relationship between the learning objectives for this course and the broader graduate attributes developed, the learning activities used to develop each objective and the assessment task used to assess each objective.

Learning Objectives

After successfully completing this course you should be able to:

1. ROBOTICS
1.1  Model and analyse robotic manipulators.
1.2  To design, model and control a robotic arm.
2. CONTROL
2.1  Design linear multivariable control systems in industry or perform research in multivariable and/or nonlinear control methods.
2.2  Carry out laboratory control experiments based on the MathWorks Matlab/Simulink platform.


Assessment & Learning Activities

  Learning Objectives
  1.1 1.2 2.1 2.2
Learning Activities
Lecture 1 (Lecture)
selected
     
Robot Arm (Practical)  
selected
   
Robotics tutorials (Tutorial Series)
selected
selected
   
Lecture 2 (Lecture)
selected
selected
   
Lecture 3 (Lecture)
selected
selected
   
Lecture 4 (Lecture)
selected
selected
   
Lecture 5 (Lecture)
selected
selected
   
Mid-semester Exam (Exam)
selected
selected
   
Series Elastic Actuator (Practical)      
selected
Control tutorials (Tutorial Series)    
selected
 
Lecture 6 (Lecture)    
selected
 
Lecture 7 (Lecture)    
selected
 
Lecture 8 (Lecture)    
selected
 
Lecture 9 (Lecture)    
selected
 
Lecture 10 (Lecture)    
selected
 
Lecture 11 (Lecture)    
selected
 
Assessment Tasks
Robot Arm Demonstration  
selected
   
Robot Arm Report
selected
selected
   
Series Elastic Actuator Report    
selected
selected
Series Elastic Actuator Demo (Practical Exam)    
selected
selected
Robotics Exam
selected
selected
   
Control Theory Exam    
selected
 

Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

  Learning Objectives
  1.1 1.2 2.1 2.2
Graduate Attributes
A IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.
selected
selected
selected
selected
A4. An understanding of how other disciplines relate to the field of study.        
A5. An international perspective on the field of study.        
B EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.
selected
selected
selected
selected
B2. The ability to interact effectively with others in order to work towards a common outcome.  
selected
selected
selected
B3. The ability to select and use the appropriate level, style and means of communication.
selected
selected
selected
 
B4. The ability to engage effectively and appropriately with information and communication technologies.
selected
selected
selected
selected
C INDEPENDENCE AND CREATIVITY
C1. The ability to work and learn independently.
selected
selected
selected
selected
C3. The ability to generate ideas and adapt innovatively to changing environments.  
selected
   
C4. The ability to identify problems, create solutions, innovate and improve current practices.
selected
selected
selected
selected
D CRITICAL JUDGEMENT
D1. The ability to define and analyse problems.
selected
selected
selected
selected
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.
selected
selected
selected
selected
D3. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions.
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E ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.
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E2. An appreciation of the philosophical and social contexts of a discipline.        
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study.        
E5. A knowledge of other cultures and times and an appreciation of cultural diversity.        

Successfully completing this course will contribute to the recognition of your attainment of the following Engineers Australia graduate attributes:

  Learning Objectives
  1.1 1.2 2.1 2.2
Graduate Attributes
1. Ability to apply knowledge of basic science and engineering fundamentals
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2. Ability to communicate effectively, not only with engineers, but also with the community at large  
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3. In-depth technical competence in at least one engineering discipline
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4. Ability to undertake problem identification, formulation and solution
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5. Ability to utilise a systems approach to design and operational performance
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6. Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a team leader or manager as well as an effective team member  
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7. Understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and for the need for sustainable development        
8. Understanding of the principles of sustainable design and development        
9. Understanding of and commitment to professional and ethical responsibilities        
10. Expectation and capacity to undertake life-long learning