This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

ECE4078 - Intelligent robotics

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Engineering

Organisational Unit

Department of Electrical and Computer Systems Engineering

Coordinator(s)

T Drummond

Offered

Clayton

Second semester 2016 (Day)

Synopsis

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 defense 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.

Outcomes

Students will gain an understanding of the physical structure, sensing/actuation and programming required to develop an intelligent robot. They will be able to specify the robotic mechanism, its sensors and actuators and then be capable of programming and integrating these components into a functioning robot system. By considering case studies they will be able to critically appraise robot systems developed by others.

Assessment

Laboratory and assignment work: 30%
Examination (3 hours): 70%.
Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Workload requirements

2 hours lectures, 4 hours laboratory/practice classes and 6 hours private study per week

Chief examiner(s)

Prof Tom Drummond

Prerequisites

ECE2071 or TRC2400 or FIT1002 or (FIT1029 and FIT1040) for students studying double degrees with science

Prohibitions

ECE4711, ECE5078, ECE5711