Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

This unit gives an overview of mobile robot systems, technologies and algorithms. It covers various types of mobile robots, including driving robots, walking and balancing robots, unmanned aerial vehicles, autonomous underwater vehicles and autonomous boats. The units builds a theoretical background on robot kinematics, localisation, mapping and navigation and transforms this into working robot algorithms during practical labs. The unit concludes with the topics robot vision, artificial intelligence and driverless vehicles.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Outcomes

Students are able to (1) discuss the history and evolution of applications of robotics systems; (2) demonstrate procedural programming skills; (3) demonstrate research capabilities through applying foundation knowledge to practical robotics applications; (4) develop code for robot-specific algorithms; (5) apply specific AI methods when appropriate; and (6) use a robot simulation system and a physical robot safely, effectively and efficiently.

Assessment

Indicative assessments in this unit are as follows: (1) laboratories; (2) project; and (3) tests and examinations. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Professor Thomas Braunl
Unit rules
Prerequisites
Enrolment in 62550 Master of Professional Engineering (Electrical and Electronic Engineering specialisation
or Mechanical Engineering specialisation
or Software Engineering specialisation)
or
Enrolment in
62510 Master of Information Technology
and Successful completion of
CITS1401 Computational Thinking with Python

or
Enrolment in
Bachelor of Engineering (Honours) or an associated Combined Degree and a WAM of at least 50
and Successful completion of
( 96 points and ( CITS1001 Software Engineering with Java
or CITX1001 Software Engineering with Java
or CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation
) )
Incompatibility
GENG5508 Robotics
Advisable prior study
A programming unit
Contact hours
lectures and laboratories
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.