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Robot dog learns to walk in one hour: Virtual spinal cord is continuously optimized

New theory predicts movement of different animals using sensing to search

Like a newborn animal, a four-legged robot stumbles around during its first walking attempts. But while a foal or a giraffe needs much longer to master walking, the robot learns to move forward fluently in just one hour. A computer program acts as the artificial presentation of the animal’s spinal cord, and learns to optimize the robot’s movement in a short time. The artificial neural network is not yet ideally adjusted at the beginning, but rapidly self-adjusts.

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