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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...
An emotion-based task sharing approach has been developed for a cooperative multiagent robotic system. A stochastic emotion model based on Markov theory is adopted to conform the emotional state of agents while performing task. The task assignment and then task sharing among the agents depend on the emotional state of each agent. Different emotional traits are considered as important factors for task...
This paper deals with an emotion-based approach to the task allocation of multi-robots, in which one robot requests the assistance of another robot in order to complete a task. A stochastic model of emotion is adapted to achieve a method for well organization of team work. With the emotional capability, each robot can distinguish the changed environment and can react with it with adaptability and...
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...
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