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Emotional contagion and personality driven multi-robot task allocation algorithm

机译:情绪传染和个性驱动的多机器人任务分配算法

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Many scholars in the fields of psychology and computer science have already carried out in-depth research on emotions and established some related models. But how to deal with the cooperation among emotional robots in task allocation is a new research issue. In this paper, we research the emotion and personality of robot, the influencing mechanism of emotions among robots, and propose an algorithm of multi-robot task allocation based on emotional contagion which turns robots' emotions into a positive state. According to different emotion values and personalities, we select the robot with a higher value of leadership as the team leader, and then choose other team members based on emotional contagion, thus forming a team that meets the mission requirements. Finally, experiments analyze factors affecting emotional contagion model and verify the effectiveness of the proposed algorithm.
机译:心理学和计算机科学领域的许多学者已经对情绪进行了深入研究,并建立了一些相关的模型。但是如何处理情感机器人之间的任务分配是一个新的研究课题。本文研究了机器人的情绪和个性,以及机器人之间情绪的影响机制,提出了一种基于情绪传染的多机器人任务分配算法,该算法将机器人的情绪转化为积极状态。根据不同的情感价值和个性,我们选择具有较高领导价值的机器人作为团队负责人,然后根据情感的传染力选择其他团队成员,从而形成一个符合任务要求的团队。最后,实验分析了影响情绪传染模型的因素,并验证了所提算法的有效性。

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