Google Street View is brilliant. It finds us when we’re lost, it shows us where we are, it reveals places we’ll never get to visit, and so on and so forth. But you know what’s even more amazing? The crazy neural network that Street View is built on.
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We’ve seen some pretty wonky bipedal robots before, but scientists at the University of Arizona have gone straight to the source — us — to make one with a more human-like saunter. It turns out it’s not just our skull-borne computer that controls gait: a simple neural network in the lumber area of our spine, called the central pattern generator (CPG), also fires to provide the necessary rhythm. By creating a basic digital version of that and connecting some feedback sensors in the legs, a more natural human stride (without balance) was created — and on top of that it didn’t require the tricky processing used in other striding bots. Apparently this throws light on why babies can make that cute walking motion even before they toddle in earnest, since the necessary CPG system comes pre-installed from birth. That means the study could lead to new ways of stimulating that region to help those with spinal cord injuries re-learn to walk, and produce better, less complex walking robots to boot. Judging by the video, it’s a good start, but there’s still a ways to go before they can mimic us exactly — you can watch it after the break.
Robotic legs simulate our neural system, lurch along in the most human-like way so far originally appeared on Engadget on Fri, 06 Jul 2012 04:16:00 EDT. Please see our terms for use of feeds.
Hidden away within Google’s X laboratory, where all kinds of secret projects are underway, its engineers have been working on creating an artificial brain. With 16,000 computer processors and freedom to learn whatever it chooses from the internet, though, it turns out that the brain does just what you do online: watch cat videos. More »
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