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Radio signal mapping with collective intelligent robots in unstructured environments

机译:非结构化环境中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。提出了一种协作式路由机器人系统,以维持机器人之间的通信能力,并提出了一种建立无缝全局通信的算法。建议在机器人之间生成无线电信号图,以防止在不同的无线电环境中失去通信。所提出的算法包括两个步骤。第一步,扩展卡尔曼滤波器旨在估算无线电环境。然后,通信链路使用k-NN(最近邻居)算法生成无线电信号图。通过仿真显示了该方法的结果。

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