robotic movement is maybe not exactly an examplary domain, because biologically a good share is controlled by the parasympathic nervous system, ie reflexes. Maybe robotics needs to get that right first with a strong focus on the mechatronics before the software becomes relevant, just as bipedal movement requires from a baby to build up the muscles.

On the other hand, maybe evolution of a nervous system is analogous to some form of neural learning, but on a huge timescale, and maybe the scale is proportional to the searchspace complexity.

edit: Well, reflexes are also propagated by neurons, but on a short circuit and thus readily modeld by PDI etc. Noticing the similar (?) reliance on differentials and coefficients, the advantage is that a subset of PDI has perfect solutions.