EECS 568 Mobile Robotics is a University of Michigan graduate-level course taught by Prof. Edwin Olson, covering probabilistic perception and estimation methods for robots, such as Bayesian filtering and Kalman filters. The course materials are published as video lectures on the course wiki.

One commenter calls Prof. Olson's video lectures excellent for learning probabilistic perception algorithms applied to robotics.

What commenters said (1)

1. Recommendsgpcz2013in “How to build an Anti Aircraft Missile: Bayes’ Theorem and the Kalman Filter”

   If anyone is interested in learning these types of probabilistic perception algorithms, especially pertaining to robotics, Prof. Edwin Olson's Mobile Robotics video lectures at the University of Michigan are excellent. They are located here: http://april.eecs.umich.edu/courses/eecs568_f12/wiki/index.p... . He even jokes near the end of the course that you could build a cruise missile with the math he teaches in the course, and kindly asks the students not to do so (I believe it was the Sensor Zoo video).

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