Robot Dream

TL;DR

This paper proposes a neurobiologically inspired framework for autonomous robots that alternates between real-time rule-based control during the day and neural network updates during the night, enhancing emotional and behavioral capabilities.

Contribution

It introduces a novel 'day/night' cycle model for robotic systems, integrating real-time control with neural network updates inspired by mammalian life phases.

Findings

Framework enables real-time responsiveness and neural adaptation.

Supports realistic emotional and behavioral strategies.

Facilitates neurobiologically plausible robot behavior.

Abstract

In this position paper we present a novel approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and "night" phases of mammalian life. During the "day" phase a robotic system stores the inbound information and is controlled by a light-weight rule-based system in real time. In contrast to that, during the "night" phase the stored information is been transferred to the supercomputing system to update the realistic neural network: emotional and behavioral strategies.