To address what you and tgflynn are saying. Machine learning != robotics. Robotics is mostly probabilistic inference / search, control theory, etc. The Sebastia

To address what you and tgflynn are saying. Machine learning != robotics. Robotics is mostly probabilistic inference / search, control theory, etc. The Sebastian Thrun course actually looks great - for robotics. Even computer vision is mostly not related to machine learning. And when machine learning is used, it has usually been simpler, faster "dumber" algorithms. Deep learning has only recently made advances in computer vision and robotics - it's still definitely an open area of research. Even in production it's only going to be a component of a larger system. I would bet the vast majority of the work in Google's self-driving car is related to probabilistic inference / mapping / search / feature-engineering, and mostly does not involve machine learning.