Course overview
This course provides an introduction to the perception, orientation, cognition, decision and motion control featured in autonomous systems. Topics include the operating principles of motion sensing, sensor fusion, state estimation, localisation, modelling and control of autonomous vehicles, and the theory and applications of reinforcement learning in autonomous operations. The course includes practicals to perform sensing and motion control of autonomous vehicles, and an assignment on reinforcement learning. Assessments include practicals and report, tests and a final exam.
Course learning outcomes
- Apply the basic operating principles of sensing, sensor fusion and control to operate small autonomous vehicles
- Explain the perception, localisation, cognition and motion control featured in autonomous systems
- Gain hands-on experience to perform small vehicle motion simulation and indoor deployment
- Comprehend the fundamentals for reinforcement learning in autonomous systems
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