• Offered by RS Electrical, Energy and Materials Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Areas of interest Engineering
  • Academic career UGRD
  • Course convener
    • Prof Robert Mahony
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2019
    See Future Offerings

This course provides an introduction to modern robotics. The focus is on robot kinematics, sensing techniques, localization, navigation, mapping and planning. Topics to be covered include robot spatial configuration, homogeneous coordinate transformation, mobile robot locomotion, mobile robot kinematics, robot motion control, sensors and perception, navigation and path planning, robot localization, simultaneous localization and mapping SLAM, robotic system architecture.

The applied component of the course includes experimental work with a programmable mobile robotic platform equipped with sensors. The project aims at integrating sensor measurements to build a representation of the environment and perform a robotic task.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On successful completion of this course, students should have the skills and knowledge to:

  1. Discuss the history, concepts and key components of robotics technologies.
  2. Describe and compare various robot sensors and their perception principles that enable a robot to analyse their environment, reason and take appropriate actions toward the given goal.
  3. Analyse and solve problems in spatial coordinate representation and spatial transformation, robot locomotion, kinematics, motion control, localization and mapping, navigation and path planning. 
  4. Apply and demonstrate the learned knowledge and skills in practical robotics applications.
  5. Plan, design and implement robotic systems, algorithms and software capable of operating in complex and interactive environments.
  6. Effectively communicate engineering concepts and design decisions using a range of media.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies 

Indicative Assessment

  1. Practical Labs (40%); 
  2. Final Project (30%); 
  3. Final Exam (30%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


3 x 1 hour lecture. 1 hour tutorial, 3 hours lab time, 2 hours independent study time - per week

Requisite and Incompatibility

To enrol in this course you must have completed ENGN3331. Incompatible with ENGN6627.

Prescribed Texts

Recommended text:

  • Introduction to Autonomous Mobile Robots, second edition,  By Roland Siegwart et al, MIT Press, 2011.



Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2019 $4320
International fee paying students
Year Fee
2019 $5700
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7649 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person N/A

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