Behavior generation through interaction in an emotionally intelligent robot system

Abstract

This paper deals with the implementation of emotions to generate intelligent behavior among the cooperative and job distributed mobile robots performing a specified task and to develop an easier form of communication. A human emotion model is adapted to multirobot system to achieve their well organized tasks. With the emotional capability, each robot can distinguish the changed environment and can understand colleague robot’s state: i.e., it can adapt to and react with changed world. The behavior of a robot is derived from the dominating emotion and emotional interaction in an intelligent manner. Emotional interaction is happened among the robots and a robot is biased by the emotional state of the colleague robot in performing task. Here general emotional interaction rules are used for better understanding to read the colleague’s state, for faster communication and better performance eliminating dead time. The characteristics of behavior obtained through simulation are analyzed. A stochastic model based on Markov theory is developed to model the emotional state of each robot.