情绪传染与人格驱动的多机器人任务分配算法

Baofu Fang, Zaijun Wang, Yong Li, Wang Hao
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引用次数: 0

摘要

许多心理学和计算机科学领域的学者已经对情绪进行了深入的研究,并建立了一些相关的模型。但如何处理情感机器人之间在任务分配中的合作是一个新的研究课题。本文研究了机器人的情绪和个性,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,将机器人的情绪转化为积极状态。根据不同的情感价值和性格,我们选择具有较高领导价值的机器人作为团队领导者,然后根据情绪传染选择其他团队成员,从而形成一个符合任务要求的团队。最后通过实验分析了影响情绪传染模型的因素,验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotional contagion and personality driven multi-robot task allocation algorithm
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.
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