Moravec’s paradox is the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources. The principle was articulated in the 1980s by Hans Moravec, Rodney Brooks, Marvin Minsky, Allen Newell, and others. Newall presaged the idea, and characterized it as a myth of the field in a 1983 chapter on the history of artificial intelligence: “But just because of that, a myth grew up that it was relatively easy to automate man’s higher reasoning functions but very difficult to automate those functions man shared with the rest of the animal kingdom and performed well automatically, for example, recognition”. Moravec wrote in 1988: “it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility”.