ECE6188 Advanced intelligent robotics
Faculty of Engineering
ECE6188 Advanced intelligent robotics is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2024 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 0
- Offered in 2024
- Semester 2
- Clayton
- Assessment
- No exam
- 5 tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ECE6188
Prohibitions
You can't enrol if you have passed any of these.
After ECE6188
No unit lists ECE6188 as a prerequisite in the 2024 handbook.
Enrolment rules
You must be enrolled in the Engineering PhD program. Students enrolled in another PhD program may seek permission from the Faculty of Engineering. The unit assumes you have the necessary foundational knowledge equivalent to ECE2071.
Overview
Intelligent robotics combines artificial perception, strategic reasoning and robotic action in potentially unstructured and time-varying environments to accomplish useful physical tasks. This unit provides an advanced survey of the fundamentals and recent research underpinning the above capabilities, including modelling, machine perception, mapping, path planning, localisation, control, artificial intelligence methodologies and application domains. As part of the unit, you will learn to conduct graduate-level research in intelligent robotics.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Flexible |
Assessment
- Weekly seminar critiques20%
- Seminar discussion leader20%
- Project Proposal10%
- Final presentation & demo20%
- Final report30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Analyse the current state of the art in terms of component design, sensing/actuation and algorithms required to develop an intelligent robot.
- 2
Critically appraise robot systems and research outputs developed by others.
- 3
Independently formulate a research problem, generate a solution and corresponding validation plan, apply the validation plan and describe the research, by completing a graduate-level research project in the field of advanced intelligent robotics.
Workload and teaching
- Workshops24 hours
- Teaching approachActive learning
- Teaching approachResearch activities
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
You will participate in a seminar discussion on recent research.
You will conduct a research project.
Contacts
- Unit Coordinators
- Professor Dana Kulic
- Chief Examiners
- Professor Dana Kulic
Common questions
What are the prerequisites for ECE6188?
ECE6188 has no prerequisites, but enrolment rules apply.
When is ECE6188 offered?
In 2024, ECE6188 runs in Semester 2 at Clayton.
How much work is ECE6188?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE6188 have an exam?
No. ECE6188 has 5 assessment tasks and no exam.