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ENose design and structures from statistical analysis to application in robotic: a compressive review.

Authors :
Moshayedi, Ata Jahangir
Khan, Amir Sohail
Yang Shuxin
Geng Kuan
Hu Jiandong
Soleimani, Masoumeh
Razi, Abolfazl
Source :
EAI Endorsed Transactions on AI & Robotics; 2023, Vol. 2, p1-20, 20p
Publication Year :
2023

Abstract

Since 1982, the olfactory system of creatures has piqued the interest of academics who seek to create a comparable system. Despite its mysterious nature, the first stage has been successfully completed with the development of the ENose. Its extended applications have opened new doors for researchers, ranging from food quality testing to bomb detection and even, more recently, identifying those infected with the coronavirus. In this talk, we will review the structure and sensor behaviour of the ENose, as well as its applications, such as odour source localization and various applications in agriculture. The challenge of odour identification has prompted researchers to employ robots with sensors to investigate and locate odour sources. The present study aims to synthesize documented research and provide a fresh perspective on odour localization research efforts and tests conducted. The study highlights previous attempts to equip robots with sensors to explore the real indoor or outdoor environment. Initially, a review was conducted to investigate various aspects of the sector and the obstacles involved. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27907511
Volume :
2
Database :
Complementary Index
Journal :
EAI Endorsed Transactions on AI & Robotics
Publication Type :
Academic Journal
Accession number :
173903960
Full Text :
https://doi.org/10.4108/airo.v2i1.3056