Indoor Gas Mapping Using Ultra-Wideband Based Mobile Robot

Muhammad Fatah*, Muhammad Rivai, Ronny Mardiyanto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Using robots instead of humans to search for toxic gases and air pollution significantly reduces the number of humans involved in accidents. This paper discusses how the omnidirectional wheels mobile robot performs gas mapping with the trilateration method using an ultra-wideband navigation system that has been equipped with a gas sensor to detect the presence of gas in the indoor room. The experimental results show that the omnidirectional wheels mobile robot can perform gas mapping with an error rate of about 2%.

Original languageEnglish
Title of host publication2024 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationCollaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages605-610
Number of pages6
Edition2024
ISBN (Electronic)9798350378573
DOIs
Publication statusPublished - 2024
Event25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia
Duration: 10 Jul 202412 Jul 2024

Conference

Conference25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024
Country/TerritoryIndonesia
CityHybrid, Mataram
Period10/07/2412/07/24

Keywords

  • air pollution
  • gas mapping
  • gas sensor
  • mobile robot
  • ultra-wideband

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