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Radio signal mapping with collective intelligent robots in unstructured environments

机译:非结构化环境中的集体智能机器人的无线电信号映射

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In collective intelligent robots, communication capability is considered as a key feature to decide how to design the collaboration policy. A cooperative routing robot system is suggested to maintain the communication capability in between robots and an algorithm to establish a seamless global communication is proposed. Generating the radio signal map among robots is suggested to prevent loss of communication in different radio environments. The proposed algorithm is composed of two steps. At the first step, Extended Kalman Filter is designed to estimate radio environments. Then, the communication link a radio signal map is generated using k-NN(Nearest Neighbors) algorithm. Results of the proposed approach are shown through simulation.
机译:在集体智能机器人中,通信能力被视为决定如何设计协作策略的关键功能。建议建议协同路由机器人系统来维持机器人和算法之间的通信能力,以建立无缝的全局通信。建议在机器人中产生无线电信号图以防止在不同无线电环境中丢失通信。该算法由两个步骤组成。在第一步,扩展卡尔曼滤波器旨在估计无线电环境。然后,使用K-NN(最近邻居)算法生成通信链路A无线电信号映射。通过模拟显示所提出的方法的结果。

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