Optimal Gas Sensors Arrangement in Odor Searching Robot

N. Husni, A. Silvia, S. Nurmaini, rsyadi Yani
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Abstract

This paper presents an analysis of an optimal sensor arrangement in Odor Searching Robot (OSR). 5 gas sensors integrated in OSR can help the OSR to navigate to the source. Since low cost, low computation and robust robot is preferred in swarm robot application, the OSR, as an individual robot of swarm in this study, is designed to be able to switch into the mode 3 or the mode 5 in order to analyze the optimal distance of the gas sensors arrangement that can be integrated in the OSR. By knowing the optimal sensor arrangement, the low cost and or the low computation OSR can be established. Algorithms of fuzzy logic for 3 and 5 gas sensors are tested in open environment. The concentration of gas is used as the input of the fuzzy logic. The robot uses the concentration, as its parameters in determining which way that it should take. From this research, it can be concluded that there was no significant difference between using 3 gas sensors or 5 gas sensors.
气味搜索机器人中气体传感器的优化配置
本文对气味搜索机器人(OSR)中传感器的最优配置进行了分析。集成在OSR中的5个气体传感器可以帮助OSR导航到气源。由于低成本、低计算量和鲁棒性是群体机器人应用的首选,因此本研究将OSR作为群体中的个体机器人,设计为能够切换到模式3或模式5,以分析OSR中可集成的气体传感器布置的最佳距离。通过了解传感器的最优配置,可以建立低成本或低计算OSR。在开放环境下对3、5气体传感器的模糊逻辑算法进行了测试。气体浓度作为模糊逻辑的输入。机器人使用浓度作为参数来决定它应该走哪条路。从本研究中可以得出,使用3个气体传感器与使用5个气体传感器之间没有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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