2012 | OriginalPaper | Chapter
Incremental Learning in a 14 DOF Simulated iCub Robot: Modeling Infant Reach/Grasp Development
Authors : Piero Savastano, Stefano Nolfi
Published in: Biomimetic and Biohybrid Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present a neurorobotic model that develops reaching and grasping skills analogous to those displayed by infants during their early developmental stages. The learning process is realized in an incremental manner, taking into account the reflex behaviors initially possessed by infants and the neurophysiological and cognitive maturations occurring during the relevant developmental period. The behavioral skills acquired by the robots closely match those displayed by children. Moreover, the comparison of the results obtained in a control non-incremental experiment demonstrates how the limitations characterizing the initial developmental phase channel the learning process toward better solutions.