Lecture 24: Differentiable robots.

Bongard brilliantly reframes physical robot design as a differentiable optimization problem, moving beyond the slow trial-and-error of traditional evolutionary algorithms. This approach successfully unifies hardware morphology and neural control into a single, mathematically elegant framework.