Feelix Growing Portal

This paper discusses the role of two antagonist neural networks for the learning and control of complex behaviors composed as a sequence of elementary states. Learning a pathway with a mobile robot or a sequence of actions with a robot arm can be seen either as the result of the learning of a temporal sequence or as the result of the natural dynamics of a sensory-motor system using appearance based approaches for instance. As a result, we will discuss the performances and the complementary features of each system, and propose a unique control architecture embedding both systems for long life learning.

Submitted to EPIROB 2008