Behavior generation in robots by emotional motivation

Abstract

Emotions are necessary in robotic system to get some extra benefits especially in intelligence and autonomy with the motivational mechanism for behavior generation. A robot needs to be intelligent enough to adjust with dynamic and flexible environment. Benefits can be amplified if emotional intelligence can be incorporated with the available control methods. We describe an emotion model to be used for a robotic system with an application in a simulated environment. The simulation shows satisfactory results in emotion generation and actions selection.