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Research on Multirobot Pursuit Task Allocation Algorithm Based on Emotional Cooperation Factor

机译:基于情感合作因素的多机器人追踪任务分配算法研究

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摘要

Multirobot task allocation is a hot issue in the field of robot research. A new emotional model is used with the self-interested robot, which gives a new way to measure self-interested robots' individual cooperative willingness in the problem of multirobot task allocation. Emotional cooperation factor is introduced into self-interested robot; it is updated based on emotional attenuation and external stimuli. Then a multirobot pursuit task allocation algorithm is proposed, which is based on emotional cooperation factor. Combined with the two-step auction algorithm recruiting team leaders and team collaborators, set up pursuit teams, and finally use certain strategies to complete the pursuit task. In order to verify the effectiveness of this algorithm, some comparing experiments have been done with the instantaneous greedy optimal auction algorithm; the results of experiments show that the total pursuit time and total team revenue can be optimized by using this algorithm.
机译:多机器人任务分配是机器人研究领域中的一个热门问题。自利机器人使用了一种新的情感模型,这为衡量多机器人任务分配问题中自利机器人的个体合作意愿提供了一种新方法。情感合作因素被引入自私机器人中;根据情绪衰减和外部刺激进行更新。然后,提出了一种基于情感合作因素的多机器人跟踪任务分配算法。结合两步拍卖算法,招募团队负责人和团队合作者,建立追逐团队,最后使用某些策略完成追逐任务。为了验证该算法的有效性,对瞬时贪婪最优拍卖算法进行了一些比较实验。实验结果表明,使用该算法可以优化总追逐时间和团队总收入。

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