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Advanced Autonomous Systems - MTRN4010 | |||||||||||||||||||||||||||||||||||||||||
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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