Gas Source Localization Using Bio-inspired Algorithm for Mini Flying Sniffer Robot: Development and Experimental Investigation

Muhamad Rausyan Fikri

doi:10.18495/comengapp.v9i3.343

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Affiliations

Muhamad Rausyan Fikri
Sampoerna University

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Gas Source Localization Using Bio-inspired Algorithm for Mini Flying Sniffer Robot: Development and Experimental Investigation

Muhamad Rausyan Fikri

Vol 9 No 3 (2020)

DOI 10.18495/comengapp.v9i3.343

Submitted: Jul 20, 2020

Published: Oct 1, 2020

Abstract

In this paper, we demonstrated a gas source localization (GSL) using a mini quadrotor as a mini flying sniffer robot. The algorithm employed is based on a bioinspired algorithm from insect behavioral searching and it is constrained to perform only in 2D dimension open space area. In this study, we deliver some information such as system development, and algorithm flowchart to highlight how this study can achieve the target goal. The performance of insect behavioral based for searching the source location shows an interesting result. Where we can achieve a satisfactory result to find the source position using a bioinspired algorithm. The experimental results are provided to evaluate the performance of the searching algorithm.