Towards Robust Layered Learning

Abstract

In his landmark work introducing layered learning Stone presented a new way of handling complex application domains suitable especially for mobile robots. We extend his framework by introducing robust layered learning- a framework that is able to handle system and environmental changes at every layer. We present first results of a lower level implementation of such a framework for mobile robots and discuss how all available sources of information regarding unforeseen changes can be integrated in such a framework in order to reach maximal robustness.