Virtual spinal cord is continuously optimized

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. On July 18, the research work which is at the intersection of robotics and biology will be published in the renowned journal Nature Machine Intelligence.