Artificial Intelligence for Robotics

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.

How to Enroll Artificial Intelligence for Robotics course?

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