ECE6178 Intelligent robotics
Faculty of Engineering
ECE6178 Intelligent robotics is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2023 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 0
- Offered in 2023
- Semester 2
- Clayton
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for ECE6178. This is its 2023 entry, the latest one.
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Requisites
Before ECE6178
Prohibitions
You can't enrol if you have passed any of these.
After ECE6178
No unit lists ECE6178 as a prerequisite in the 2023 handbook.
Enrolment rules
You must be enrolled in the Engineering PHD program or with permission from the Faculty of Engineering. 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 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Coding exercises20%
- Lab assessments20%
- Final assessment60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Assess the physical structure, sensing/actuation and programming required to develop an intelligent robot.
- 2
Formulate and design the robotic mechanism, its sensors and actuators.
- 3
Integrate robotic mechanisms, sensors and actuators into a functioning robot system.
- 4
By considering case studies, critically appraise robot systems developed by others.
Workload and teaching
- Practical activities12 hours
- Lectures12 hours
- Workshops12 hours
- Teaching approachResearch activities
- Teaching approachPeer assisted learning
- Teaching approachCase-based teaching
- Teaching approachActive learning
- Teaching approachOnline learning
- Teaching approachProblem-based learning
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 work in a group of 3-4 to implement an intelligent robot system.
Lectures will be delivered online.
Contacts
- Chief Examiners
- Dr Juxi Leitner
- Unit Coordinators
- Dr Juxi Leitner
Common questions
What are the prerequisites for ECE6178?
ECE6178 has no prerequisites, but enrolment rules apply.
When is ECE6178 offered?
In 2023, ECE6178 runs in Semester 2 at Clayton.
How much work is ECE6178?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE6178 have an exam?
No. ECE6178 has 3 assessment tasks and no exam.