I think that neural networks work well in muscle memory applications - repetitive and fast motions. I think in this case, the robot could learn (in a similar ma

I think that neural networks work well in muscle memory applications - repetitive and fast motions. I think in this case, the robot could learn (in a similar manner to other systems [1][2]) some fundamental motion characteristics (primitives) for jumping. Then, combining and augmenting primitives in such a manner so as to vary its jumping and landing capability. So, to me, it seemed that it was the kind of problem where a neural network would probably work well. I never said it was the correct, optimal, best or only answer. Maybe as the jumping capability and requirements become more complex, a neural network would be better? It is likely that a specifically designed dynamical control system would work better for a limited series of simple jumping/landing tasks, but it would be interesting to see how well a neural network system would run for much more complex or varied tasks. [1] http://ieeexplore.ieee.org/document/5686298/ http://ieeexplore.ieee.org/document/5686298/ [2] http://ieeexplore.ieee.org/document/4650953/ http://ieeexplore.ieee.org/document/4650953/