Title: Tutorial on robotic olfaction via gas-sensitive UAV: technologies and methodologies

Authors: Lei Cheng; Zhihao Cai; Qingxue Zeng; Jialiang Zhong; Yuao Li

Addresses: Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China ' Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China ' Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China ' Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China ' Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China

Abstract: When used in a wide range of environments for sniffing tasks, gas-sensitive drones will perform better than common ground-based mobile robots due to their flexibility. In recent years, with the improvement of various related theories, gas-sensitive unmanned aerial vehicle (UAV) has gradually become a hot research direction. Generally speaking, gas-sensitive UAV platform consists of electronic nose and commercial UAV, which can be divided into different application directions according to the configuration of electronic nose module. The research on its application mainly focuses on gas localisation and gas distribution mapping. In this paper, the design and application of gas-sensitive UAV are reviewed, the electronic nose applicable to gas-sensitive UAV is summarised, and the design methods, existing problems and its solutions of gas-sensitive UAV are introduced. After that, the research on gas localisation and gas distribution mapping is summarised and analysed, and the possible research directions in the future are proposed.

Keywords: robotic olfaction; gas-sensitive UAV; gas-localisation methods; gas mapping methods.

DOI: 10.1504/IJMIC.2021.121836

International Journal of Modelling, Identification and Control, 2021 Vol.37 No.3/4, pp.321 - 330

Received: 12 Dec 2020
Accepted: 08 Feb 2021
Published online: 07 Apr 2022 *

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