eprintid: 18987
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/89/87
datestamp: 2024-06-04 14:11:26
lastmod: 2024-06-04 14:11:26
status_changed: 2024-06-04 14:04:35
type: conference_item
metadata_visibility: show
creators_name: Hamid, M.H.B.A.
creators_name: Hawari, H.F.
title: Development of Olfaction based Mobile Robot
ispublished: pub
keywords: Accident prevention; Electronic nose; Gas detectors; Gases; Indoor positioning systems; Mapping; Optical radar; Risk assessment; Robots, Detection methods; Gas leak detection; Gas odors; Gas-sensors; Human safety; Malaysia; Mobile olfaction; Real time monitoring; Simultaneous localization and mapping; Simultaneous localization and mapping algorithms, Robot Operating System
note: cited By 0; Conference of 2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023 ; Conference Date: 26 September 2023 Through 27 September 2023; Conference Code:195657
abstract: This project focuses on the development of a mobile olfaction-based robot capable of detecting gas odors, addressing the limitations of traditional gas leak detection methods in Malaysia, which can pose risks to human safety. The robot employs a gas sensor, along with the simultaneous localization and mapping (SLAM) algorithm, to identify areas with gas odors and perform mapping tasks. The robot is equipped with essential components, including a lidar sensor, a metal oxide sensor (MOS), and the Robot Operating System (ROS) software. To evaluate the robot's mapping accuracy, the SLAM algorithm is applied in designated indoor location. Results show that the robot achieved a remarkable map accuracy of 98.46 in closed door room. This validates the effectiveness of both SLAM and the gas sensor's response in real-time monitoring and accurate detection and classification of odors. The potential applications of this research span various industries and research domains due to its ability to precisely detect and classify odors, provide real-time monitoring, and enable seamless data integration and analysis. By deploying this advanced robot, industries can enhance safety measures and mitigate risks related to gas leak detection and management. © 2023 IEEE.
date: 2023
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182736159&doi=10.1109%2fSENNANO57767.2023.10352565&partnerID=40&md5=68f95d7e2e985310f4fb6cd558b305f3
id_number: 10.1109/SENNANO57767.2023.10352565
full_text_status: none
publication: 2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023
pagerange: 200-203
refereed: TRUE
isbn: 9798350333312
citation:   Hamid, M.H.B.A. and Hawari, H.F.  (2023) Development of Olfaction based Mobile Robot.  In: UNSPECIFIED.