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If this sounds familiar to you, it’s because this method works very similarly to error-diffusion. Instead of letting adjacent pixels compensate for the error, we’re letting each successive candidate compensate for the combined error of all previous candidates.

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Part of the approach involves developing actuators that output lots of data about their current position and function, so that computers can adjust their operation in real-time. But the hardware also needs to step up, too.