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 2022 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2022
- Semester 2
- Clayton
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2022 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 2022 handbook.
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 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Programming exercisesThreshold hurdle20%
- Laboratory project milestonesThreshold hurdle20%
- Final lab demonstration/competitionThreshold hurdle60%
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
- Laboratories36 hours
- Practical activities12 hours
- Lectures12 hours
- Teaching approachSimulation or virtual practice
- Teaching approachActive learning
- Teaching approachOnline 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 6-8 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.
Practicals will be delivered online
Students will work in groups of 3-4 to implement an intelligent robot system. We will work in hybrid mode, where one group member is on campus while the others participate remotely
Lectures will be delivered online
Contacts
- Unit Coordinators
- Professor Dana Kulic
- Chief Examiners
- Professor Dana Kulic
Common questions
What are the prerequisites for ECE5178?
ECE5178 has no prerequisites.
When is ECE5178 offered?
In 2022, 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.