Advanced Robotics (11479.1)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-Campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Technology | Level 3 - Undergraduate Advanced Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Students will be exposed to the fundamentals of kinematics, control, and probabilistic techniques in robotics. Key algorithmic and mathematical concepts will be discussed through real world problems and students will have the opportunity to implement these ideas using simulations and on real robotic platforms. Students will gain a factual understanding of the current state of the art in robotics along with an exposure to emerging and future trends in robotics, including current research in Human Robot Interaction, robotics in the creative industries and robot ethics.
This unit may be cotaught with 11525 Advanced Robotics PG.
Learning outcomes
After successful completion of this unit, students will be able to:1. Understand the industry;
2. Apply principles and techniques in varied application domains related to IT and Engineering;
3. Formulate solutions to solve problems related to robotics and automation;
4. Evaluate the current practice and predict future trends; and
5. Demonstrate conversance in key soft skills, such as communication, analysis and inquiry, problem solving, independent and group working, professionalism and social responsibility.
Graduate attributes
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Prerequisites
11370 Foundations of Robotics AND 10087 Engineering Mathematics.Corequisites
None.Incompatible units
11525 Advanced Robotics PG.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2023 | Bruce, Canberra | Semester 2 | 31 July 2023 | On-Campus | Dr Shahid Hussain |
| 2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | On-Campus | Dr Shahid Hussain |
Required texts
Required Text Book: Saeed B. Niku: Introduction to Robotics: Analysis, Control, Applications,
Edition: 2nd Edition
ISBN: 978-0-470-60446-5
Submission of assessment items
Special assessment requirements
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.
Supplementary assessment
N/A
Academic integrity
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Learner engagement
Suggested average student workload:
Lectures (2h lecture + 0.5h preparation) 12h x 2h + 6h = 30h
Laboratories (2h lab + 3h preparation) 10h x 2h + 30h = 50h
Laboratory Assignments (Part 1 + Part 2 ) 25h + 25h = 50h
Quiz 1 (incl. preparation) = 10h
Quiz 2 (incl. preparation) = 10h
Total: 150 Hours
Participation requirements
Student participation in lectures, tutorials, laboratories, and online activities will enhance the student's understanding of the unit content and therefore the quality of assessment responses. Lack of participation may result in the student's inability to satisfactorily pass assessment items.
Required IT skills
Microsoft Office and Matlab.
Work placement, internships or practicums
None
