Because that's not a place where deep learning shines. Most of the simple tabular data competitions are won by simple methods like random forests and manual feature engineering. Even simple linear regression or at least SVMs will usually get reasonably close to the best possible model.

But images are more important in the long term. Robotics has been held back for decades because of lack of good AI. You could build robots that can do incredible things, but they could only perform rote actions. They were blind and couldn't see the objects they were interacting with.

Now that we have decent machine vision and reinforcement learning, there will be many more interesting applications of robots. Automation will be a lot cheaper and more convenient.