ENGMT558-23B (HAM)

Robotics

15 Points

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The University of Waikato
Academic Divisions
Division of Health Engineering Computing & Science
School of Engineering

Staff

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Convenor(s)

Hin Lim

Hin Lim
5123
D.G.20
See Moodle
hin.lim@waikato.ac.nz

Lecturer(s)

Sanush Abeysekera

Sanush Abeysekera
4451
D.2.01
See Moodle
sanush.abeysekera@waikato.ac.nz

Administrator(s)

: mary.dalbeth@waikato.ac.nz
: natalie.shaw@waikato.ac.nz
: janine.williams@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: anne.ferrier-watson@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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This paper teaches students the advanced mechatronics with application to mobile and industrial robotic applications. This paper covers kinematic transformations, path planning and integration of techniques to mobile and robotic applications. Face to face attendance is essential for this paper.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/assets/Uploads/Documents/IEA-Graduate-Attributes-and-Professional-Competencies-2021.1-Sept-2021.pdf

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How this paper will be taught

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The paper will be taught in D.2.03 for both lectures and laboratories. There will be one lecture from 2-3 and then followed by laboratory session 3-5 Tuesday. Laboratory session starts in Week 1. If the timetable is mentioned otherwise, we will follow the format of lecture first before laboratory session every week. We expect the students to be present in both lecture and laboratory sessions.
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Required Readings

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Element of Robotics

Mordechai Ben-Ari, Francesco Mondana

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Use industrial robots to perform intended tasks and identify the industrial robots constraints (WA4, WA5, WK6)
    Linked to the following assessments:
    • Lab project 1 (5)
  • Integrate hardware and software to create functional robotic system (WA1, WA4, WA5, WA9, WK6)
    Linked to the following assessments:
    • Assignment 3 (3)
    • Lab project 2 (6)
  • Integrate sensing for autonomous operation (WA1, WA4, WA5, WA9, WK6)
    Linked to the following assessments:
    • Assignment 1 (1)
    • Assignment 2 (2)
    • Lab project 2 (6)
  • Apply kinematic transformation to achieve high precision operation (WA1, WA4)
    Linked to the following assessments:
    • Test (4)
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Assessments

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How you will be assessed

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There will be 2 lab projects and four assignments. The tests will assess on theoretical concepts such as kinematic transformations and programming basic skills. Late assignment submission cannot exceed 5 working days. Exception will only be provided for special consideration, and will need paper convener approval.

Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Assignment 1
8 Aug 2023
2:00 PM
10
  • Online: Submit through Moodle
2. Assignment 2
5 Sep 2023
2:00 PM
15
  • Online: Submit through Moodle
3. Assignment 3
19 Sep 2023
2:00 PM
15
  • Online: Submit through Moodle
4. Test
10 Oct 2023
2:00 PM
10
5. Lab project 1
18 Aug 2023
No set time
20
  • Online: Submit through Moodle
6. Lab project 2
13 Oct 2023
No set time
30
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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