Neuromodulation based control of an autonomous robot

Abstract

The paper presents a control approach based on vertebrate neuromodulation and its implementation on an autonomous mobile robot platform. A neural network is used to model the neuromodulatory function for generating context based behavioral responses to sensory signals. The implementation of the neuronal model on a relatively simple autonomous robot illustrates its interesting behavior adapting to changes in the environment.