Advanced Autonomous Systems - MTRN4010

Faculty: Faculty of Engineering

School: School of Mechanical and Manufacturing Engineering

Course Outline:

Campus: Sydney

Career: Undergraduate

Units of Credit: 6

EFTSL: 0.12500 (more info)

Indicative Contact Hours per Week: 4

Enrolment Requirements:

pre-requisites: MMAN3200 AND MATH2089 AND MTRN2500

CSS Contribution Charge: 2 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.


The course is aimed at learning basic and advanced techniques necessary for sensing and control of autonomous mechatronic systems. Contents covered in this course include stochastic processes, state estimation, Sensor data fusion, nonlinear control, optimal control, stochastic control, behavior-based control, machine learning techniques (genetic algorithms, neural networks, fuzzy logic and reinforcement learning). Half of the course is lecture-based. In the other half, students will program and control autonomous indoor robots.


Study Levels

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