Capsule networks are attempt to get past the limits of current approach to deep learning. It took 20 years until the the current paradigm in deep learning started to generate results. You start with toy problems and explore.

Hinton's "What is wrong with convolution neural nets?" is still true to the state of the art in convnets. Gradually turning features into objects like we do in deep learning is limiting. Distinguishing feature integration from object detection like humans do and how to do it is an open question. It can take another 10-15 years.