Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor

Helmy Widyantara; Muhammad Rivai; Djoko Purwanto

doi:10.1109/CENIM.2018.8711381

Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor

Helmy Widyantara
, Muhammad Rivai
, Djoko Purwanto

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

Searching for locations of dangerous, explosive, and flammable gas sources by human can endanger health and even lives. Therefore, the use of robots is needed in this situation. This paper discusses the gas source localization using an olfactory mobile robot equipped with two gas sensors to navigate the robot and three anemometers to determine wind direction. The Intel Curie module is used as a microcontroller that handles all electronic compartments to obtain sensor signals, and robot movements. The experimental results show that the addition of a wind direction sensor can improve the robot's ability to find a gas source, in which the robot does not lose track of the odor plume in a turbulent air.

Original language	English
Title of host publication	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	66-70
Number of pages	5
ISBN (Electronic)	9781538675090
DOIs	https://doi.org/10.1109/CENIM.2018.8711381
Publication status	Published - 2 Jul 2018
Event	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia Duration: 26 Nov 2018 → 27 Nov 2018

Publication series

Name	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

Conference

Conference	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/Territory	Indonesia
City	Surabaya
Period	26/11/18 → 27/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

gas source localization
olfactory mobile robot
wind direction sensor

Access to Document

10.1109/CENIM.2018.8711381

Cite this

Widyantara, H., Rivai, M., & Purwanto, D. (2018). Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding (pp. 66-70). Article 8711381 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM.2018.8711381

Widyantara, Helmy ; Rivai, Muhammad ; Purwanto, Djoko. / Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor. 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 66-70 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

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title = "Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor",

abstract = "Searching for locations of dangerous, explosive, and flammable gas sources by human can endanger health and even lives. Therefore, the use of robots is needed in this situation. This paper discusses the gas source localization using an olfactory mobile robot equipped with two gas sensors to navigate the robot and three anemometers to determine wind direction. The Intel Curie module is used as a microcontroller that handles all electronic compartments to obtain sensor signals, and robot movements. The experimental results show that the addition of a wind direction sensor can improve the robot's ability to find a gas source, in which the robot does not lose track of the odor plume in a turbulent air.",

keywords = "gas source localization, olfactory mobile robot, wind direction sensor",

author = "Helmy Widyantara and Muhammad Rivai and Djoko Purwanto",

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language = "English",

series = "2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding",

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Widyantara, H, Rivai, M & Purwanto, D 2018, Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor. in 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding., 8711381, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 66-70, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018, Surabaya, Indonesia, 26/11/18. https://doi.org/10.1109/CENIM.2018.8711381

Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor. / Widyantara, Helmy; Rivai, Muhammad ; Purwanto, Djoko.
2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. p. 66-70 8711381 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rivai, Muhammad

AU - Purwanto, Djoko

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Searching for locations of dangerous, explosive, and flammable gas sources by human can endanger health and even lives. Therefore, the use of robots is needed in this situation. This paper discusses the gas source localization using an olfactory mobile robot equipped with two gas sensors to navigate the robot and three anemometers to determine wind direction. The Intel Curie module is used as a microcontroller that handles all electronic compartments to obtain sensor signals, and robot movements. The experimental results show that the addition of a wind direction sensor can improve the robot's ability to find a gas source, in which the robot does not lose track of the odor plume in a turbulent air.

AB - Searching for locations of dangerous, explosive, and flammable gas sources by human can endanger health and even lives. Therefore, the use of robots is needed in this situation. This paper discusses the gas source localization using an olfactory mobile robot equipped with two gas sensors to navigate the robot and three anemometers to determine wind direction. The Intel Curie module is used as a microcontroller that handles all electronic compartments to obtain sensor signals, and robot movements. The experimental results show that the addition of a wind direction sensor can improve the robot's ability to find a gas source, in which the robot does not lose track of the odor plume in a turbulent air.

KW - gas source localization

KW - olfactory mobile robot

KW - wind direction sensor

UR - https://www.scopus.com/pages/publications/85066505766

U2 - 10.1109/CENIM.2018.8711381

DO - 10.1109/CENIM.2018.8711381

M3 - Conference contribution

AN - SCOPUS:85066505766

T3 - 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

SP - 66

EP - 70

BT - 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018

Y2 - 26 November 2018 through 27 November 2018

ER -

Widyantara H, Rivai M , Purwanto D. Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2018. p. 66-70. 8711381. (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). doi: 10.1109/CENIM.2018.8711381

Gas Source Localization Using an Olfactory Mobile Robot Equipped With Wind Direction Sensor

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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