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Their robot has been remarkably successful at achieving simple walking on a treadmill, a feat accomplished by incorporating a new model of neural networking in the limbs. The pair’s robot incorporates a “half-centre” neural network into the robots hips, which operates on simple signals from the limbs to produce the alternating motion of the walking legs. This network, which replicates the nervous network present in human legs, has never before been incorporated into a walking robot.
“We’ve tried various robot systems. But if we build special-purpose robots, when we modify trial procedures or switch to different projects, those robots become useless. Also, developing robots is very time-consuming. So, we wanted to develop a robot that can do what people do, using the same tools people use. That’s why we’ve developed Mahoro,” say scientists.