• Offered by School of Engineering
  • ANU College ANU College of Systems and Society
  • Course subject Engineering
  • Areas of interest Engineering, Mechatronics, Robotics
  • Academic career UGRD
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2026
    See Future Offerings
  • STEM Course

This course provides an introduction to modern robotics. The focus is on robot kinematics, sensing techniques, localization, and mapping. Topics to be covered include robot spatial configuration, homogeneous coordinate transformation, mobile robot locomotion, mobile robot kinematics, robot motion control, sensors and perception, 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. This applied component is aimed 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:

  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, and localization and mapping. 
  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.

Other Information

Professional Skills Mapping: 

Mapping of Learning Outcomes to Assessment and Professional Competencies 

Indicative Assessment

  1. Practical Labs (40) [LO 1,4,5,6]
  2. Assignments (20) [LO 1,2,3,6]
  3. Final Exam (40) [LO 1,2,3,6]

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.

Workload

Approximately 10 hours per week is expected with a total of 130 hours for the entire course. The workload covers the learning activities of lecture content, practical labs, and assignments, as well as adequate self-study and completion of assessments.

Requisite and Incompatibility

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

Prescribed Texts

None.

Preliminary Reading

R. Siegwart, Introduction to Autonomous Mobile Robots, 2nd Edition, MIT Press, 2011.

S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, 2005.

Majors

Minors

Fees

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

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
2
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

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
7170 27 Jul 2026 03 Aug 2026 31 Aug 2026 30 Oct 2026 In Person N/A

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