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Complexity simplification for an identification audio model in mobile robots navigation

机译:移动机器人导航中识别音频模型的复杂性简化

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In previous works authors have presented an identification model which corresponds to the acoustic response of an industrial plant. The parameters of this model vary with the characteristics of the closed room. The aim of the model is to locate mobile robots in such environments. In this article new ways to simplify the degree of complexity are investigated in order to simplify the robots self-localization process in industrial plants using the acoustic signals generated by typical engines in those environments.
机译:在以前的作品中,作者提出了一种对应于工业厂的声反应的识别模型。该模型的参数随着关闭室的特性而变化。该模型的目的是在这种环境中定位移动机器人。在本文中,研究了简化复杂程度的新方法,以简化工业设备中的机器人自定位过程,使用这些环境中的典型发动机产生的声学信号。

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