from wired.com:

Secret Math of Fly Eyes Could Overhaul Robot Vision

““We can build a system that works perfectly well, inspired by biology, without having a complete understanding of how the components interact. It’s a non-linear system,” said David O’Carroll, a computational neuroscientist who studies insect vision at Australia’s University of Adelaide. “The number of computations involved is quite small. We can get an answer using tens of thousands of times less floating-point computations than in traditional ways.”

The best-known of these is the Lucas-Kanade method, which calculates yaw — up-and-down, side-to-side motion changes — by comparing, frame by frame, how every pixel in a visual field changes. It’s used for steering and guidance in many experimental unmanned vehicles, but its brute-force approach requires lots of processing power, making it impractical in smaller systems.

In order to make smaller flying robots, researchers would like to find a simpler way of processing motion. Inspiration has come from the lowly fly, which uses just a relative handful of neurons to maneuver with extraordinary dexterity. And for more than a decade, O’Carroll and other researchers researchers have painstakingly studied the optical flight circuits of flies, measuring their cell-by-cell activity and turning evolution’s solutions into a set of computational principles.

[...] “A laptop computer uses tens of watts of power. Implementing what we’ve developed can be done with chips that consume just a fraction of a milliwatt,” said O’Carroll.“