Artificial Intelligence for Robotics

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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