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Advanced Autonomous Systems - MTRN4010
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Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 4
 
 
CSS Contribution Charge:Band 2 (more info)
 
   
 
Further Information: See Class Timetable
 
  

Description

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.


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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.