What you will learn
- Localization
- Kalman Filters
- Particle Filters
- Search
- PID Control
- SLAM (Simultaneous Localization and Mapping)
- Runaway Robot Final Project
This course is offered as part of the Georgia Tech Masters in Computer Science. This course will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.
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