The system utilized a dynamically reconfigurable neural network. The new mathematical model prepared by the researchers was focused on the human nervous system. This first learning system for humanoid robots helps them to learn about motor coordination and the movement quickly. Neural networks in the past took days and even months to produce new movement. Plus, it reduced the amount of software code necessary in motion control. Read more

August, 2003