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B.U. Solid State Laboratory, May 2013 - July 2014
B.U. Solid State Laboratory, May 2013 - July 2014
B.U. Solid State Laboratory, May 2013 - July 2014
Artificial Intelligence for Robotics (Udacity)
May 2020
Abstract:
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
8. SLAM
Results:
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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