PERIODIC ADAPTIVE ACTIVATION OF BEHAVIORS IN ROBOTIC SYSTEMS

Author:

BURATTINI ERNESTO1,ROSSI SILVIA1

Affiliation:

1. Dipartimento di Scienze Fisiche, University of Naples "Federico II", Via Cintia, Naples I 80126, Italy

Abstract

The main goal of our current research is the design of a robotic architecture that has the capability of adapting the robot's behavior to the rate of change of a dynamic environment. We present a model which takes free inspiration from some features of biological clocks. In particular, we associate the concept of Innate Releasing Mechanisms (IRM) to the concept of periodic behavior activation in order to link the variability of the behavior to the circumstances in which it is activated. We propose an architecture in which the frequency of access to the sensory system is modified in accordance to the environmental changes. To this purpose we use the Schema Theory paradigm. Some first experimental results are reported and discussed.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference19 articles.

1. Active vision

2. M. A. Arbib, The Handbook of Brain Theory and Neural Networks (MIT Press, Cambridge, MA, USA, 1998) pp. 830–834.

3. Animate vision

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