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ECE6188 · Advanced intelligent robotics

Official Handbook

2026 Handbook0 credit pointsLevel 6Department of Electrical and Computer Systems Engineering

Last checked: 23 Aug 2026 UTC

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

The Handbook publishes no offerings for this unit.

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Weekly seminar critiquesWritten20%
2Seminar discussion leaderPresentation20%
3Project ProposalProject10%
4Final presentation & demoProject20%
5Final reportProject30%

Continuous assessment: 100% Final grades: PGO (pass grade only) or NGO (fail).

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prohibitions

Learning outcomes

  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

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.

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