A couple of months ago, while doing research for the Sparkfun AVC, I posed to the DIYRovers Google Group a question about the Kalman filter. I had discovered through reading that the Kalman filter is a popular algorithm in robotics and the more I read the more it seemed that the Kalman filter is the answer to just about any robotics problem out there. Unfortunately, I was unable to find any good learning resources for this algorithm that didn't require an undergraduate degree in mathematics.
One of the members of the group suggested that a good resource for learning the Kalman filter is the Udacity course "Artificial Intelligence for Robotics."
Udacity, for those who don't know, is a MOOC: A Massively Open Online Courseware site. Udacity hosts online classes that anyone can take free of charge. Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky. It is the outgrowth of free computer science classes offered in 2011 through Stanford University, where Sebastian is a professor. I'll talk about the for-profit part in a few paragraphs.
So, at the encouragement of another AVC'er, I started taking the course. Continue reading Udacity Course Review: Artificial Intelligence for Robotics