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Artificial Intelligence for Robotics (Udacity)

May 2020


I was eager to get some exposure to the fundamentals surrounding autonomous mobile platforms prior to school starting. I came across Sebastian Thrun's famous Udacity course and had to give it a shot. The course covered the following topics:

1. Bayesian Filters

2. Localization

3. Kalman Filters

4. Particle Filters 

5. Search Algorithms 

6. Path Planning

7. PID Control 



Most of the solutions for problem sets did not have a visual component to them, but the solutions can be found on my GITHUB. However, the final project 'Runaway Robot' had a very nice visualizer - check it out! This program utilizes a Kalman Filter to plan the best path in order to catch a robot on the loose.

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