If you can manage to be impressive with computer vision, that'll go a long way. The problems in that space are intense but some are solvable with NN. Recognit

If you can manage to be impressive with computer vision, that'll go a long way. The problems in that space are intense but some are solvable with NN. Recognition and things. Most of the movement problems don't work that well with NN, afaik. I think they've been applied to avoiding singularities but if you wanted to use a NN to optimize movement, you'd have to simulate all the sets of movement first to train it. Hard ask, and people in robotics tend to be interested in abilities rather than optimization although of course they come hand in hand. If you have the math background to understand the algorithms you can learn the cutting edge papers and implement those, then work on them. It isn't exactly simple, though.