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Multi-robot task allocation algorithm based on anxiety model and modified contract network protocol

机译:基于焦虑模型和改进契约网络协议的多机器人任务分配算法

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摘要

In order to solve the problem of task allocation in the aspects of division, cooperation and competition among multiple search and rescue robots, the concept of anxiety in psychology is introduced to build the anxiety model of robots. Whether the robots participate in the task allocation can be evaluated by using this method. Through the improvement of the traditional Contract Network Protocol (CNP) in terms of task distributing, bidding and confirming, some concepts such as trust, familiarity and capability in the procedure of task auction is put forward. The procedure and algorithm of task allocation are designed. The time which a multi-robot spends in a task can be compared under the condition of different algorithms and different communicating failure rates through the simulation of task allocation algorithm. The robustness of task allocation algorithm will also be verified and analyzed at last.
机译:为了解决多发搜救机器人之间在分工,协作,竞争等方面的任务分配问题,引入了心理学中的焦虑概念,建立了机器人的焦虑模型。使用此方法可以评估机器人是否参与任务分配。通过对传统合同网络协议(CNP)在任务分配,投标和确认方面的改进,提出了任务拍卖过程中的信任,熟悉度和能力等概念。设计了任务分配的程序和算法。通过任务分配算法的仿真,可以在不同算法和通信失败率不同的情况下,比较多机器人在任务上花费的时间。最后还将验证和分析任务分配算法的鲁棒性。

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