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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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摘要

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:在以前的工作中,作者提出了一种识别模型,该模型与工业工厂的声学响应相对应。该模型的参数随封闭房间的特性而变化。该模型的目的是在这样的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,以简化在工业工厂中使用那些环境中典型引擎生成的声信号的机器人自定位过程。

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