ECE5178 Intelligent robotics
Faculty of Engineering
ECE5178 Intelligent robotics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2024 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Clayton
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ECE5178
Prohibitions
You can't enrol if you have passed any of these.
After ECE5178
No unit lists ECE5178 as a prerequisite in the 2024 handbook.
Enrolment rules
You must be currently enrolled in a master’s course in engineering or related STEM and in a related discipline. The unit assumes that you have the necessary foundational knowledge.
Equivalent units
The same content under another code. Only one of them counts.
Overview
Intelligent robotics concerns the melding of artificial perception, strategic reasoning and robotic action in potentially unstructured and time-varying environments to fulfil useful physical tasks, whether in industry or for security, healthcare, search and rescue or civil defence etc. This unit covers topics underpinning the above requirements, including sensors, sensor fusion, machine perception, environmental mapping/monitoring, path planning, localisation, mechanisms, artificial intelligence methodologies and application domains.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Programming exercises20%
- Laboratory project miletsones20%
- Final lab demonstration/competition60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Describe the physical structure, sensing/actuation and programming required to develop an intelligent robot.
- 2
Specify the mechanism, sensors and actuators of a robotic system.
- 3
Design algorithms for robot systems.
- 4
Integrate robotic systems and algorithms into a functioning physical robot system to perform specific tasks.
- 5
Critically appraise robot systems developed by others.
Workload and teaching
- Workshops24 hours
- Laboratories36 hours
- Teaching approachOnline learning
- Teaching approachActive learning
- Teaching approachCase-based teaching
- Teaching approachProblem-based learning
- Teaching approachPeer assisted 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 6-8 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.
Lectures will be delivered online
You will work in a group of 3-4 to implement an intelligent robot system.
Learning resources
Required resources
- Lecture handouts
- Code repositories
Contacts
- Chief Examiners
- Dr Juxi Leitner
- Unit Coordinators
- Dr Juxi Leitner
Common questions
What are the prerequisites for ECE5178?
ECE5178 has no prerequisites, but enrolment rules apply.
When is ECE5178 offered?
In 2024, ECE5178 runs in Semester 2 at Clayton.
How much work is ECE5178?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE5178 have an exam?
No. ECE5178 has 3 assessment tasks and no exam.