| Category | Coursework | Subject | Engineering |
|---|---|---|---|
| University | University of New South Wales | Module Title | MTRN4010 Advanced Autonomous Systems |
The course is aimed at learning basic and advanced techniques that are necessary for sensing and control of autonomous mechatronic systems. Contents covered in this course include Bayesian state estimation / Sensor data fusion, and certain relevant techniques (Dynamic Programming, Optimization, PSO). Half of the course is lecture-based. In the other half, students implement and apply those techniques. In addition to the theory discussed in the lectures, the course is also focused on practical implementation matters, involving implementing processing modules, which are tested with real measurements from sensors, additionally being tested in simulation, in diverse scenarios.
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