Odor-source localization in the clean room by an autonomous mobile sensing system
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3D multi-robot olfaction in naturally ventilated indoor environments: Locating a time-varying source at unknown heights
2024, Science of the Total EnvironmentRegression-enhanced Entrotaxis as an autonomous search algorithm for seeking an unknown gas leakage source
2024, Expert Systems with ApplicationsEstimation of activity concentrations of radioactive gases inside containment building of fast breeder reactor FBTR: Leakage of active cover gas
2020, Progress in Nuclear EnergyCitation Excerpt :Several algorithms to design intelligent mobile robots to locate a gas plume source has been reported in the literature. Most of the strategies employ localization by following the concentration gradient (chemotaxis), and air-flow direction (anemotaxis) (Russell et al., 2013; Li et al., 2011; Ishida et al., 1996, 1998; Marques et al., 2002; Balkovsky and Shraiman, 2002). A detailed review on the strategies employed to localize a gas source and experimental works in this field can be found in [10] and [14].
Experimental study on a comprehensive particle swarm optimization method for locating contaminant sources in dynamic indoor environments with mechanical ventilation
2019, Energy and BuildingsCitation Excerpt :In recent years, multi-robot active olfaction methods have attracted increasing attention due to their high efficiency, good scalability, and strong robustness [27]. To date, most research on robot active olfaction methods [9,28–32] has been conducted in steady-state airflow environments, and only a few attempts have been made in recent years to locate sources in dynamic indoor environments. Compared to steady-state indoor environments, dynamic indoor environments pose two major challenges to robot active olfaction methods.
Multiple odor source localization using diverse-PSO and group-based strategies in an unknown environment
2019, Journal of Computational ScienceCitation Excerpt :The problem of odor source localization can have four different cases. ( 1) Single odor source–single robot [1–6]. ( 2) Single odor source–multiple robot [7–13]. (