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SIMULATION OF LANDMARK APPROACH FOR WALL FOLLOWING ALGORITHM ON FIRE-FIGHTING ROBOT USING V-REP

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 8 No. 2 (2015) · pp. 100–110

DOI
10.21609/jiki.v8i2.308
ISSN
2502-9274, 2088-7051
Published
2015-08-27
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Autonomous mobile robot has been implemented to assist humans in their daily activity. Autonomous robots have also contributed significantly in human safety. Autonomous mobile robot have been implemented to assist humans in their daily activity. Autonomous robots Have also contributed significantly in human safety. An example of the autonomous robot in the human safety sector is the fire fighting robot, which is the main topic of this paper. As an autonomous robot, the fire fighting robot needs a robust navigation ability to execute a given task in the shortest time interval. Wall-following algorithm is one of several navigating algorithm that simplifies this autonomous navigation problem. As a contribution, we propose two methods that could be combined to make the existing wall-following algorithm more robust. The combined wall-flowing algorithm will be compared to the original wall-following algorithm. By doing so, we could determine which method has more impact on the robot’s navigation robustness. Our goal is to see which method is more effective when combined with the wall-following algorithm.

Keywords

Collaboration network of the authors

23 authors · 60 co-authorship links · 37 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Indonesia
  • Universitas Negeri Surabaya
  • University of Edinburgh
  • Diponegoro University
  • Tarumanagara University
  • Pelita Harapan University
  • Politeknik Negeri Malang
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Adi WibowoDiponegoro University2
Dwi Marhaendro Jati PurnomoUniversity of Indonesia2
Muhammad Syaeful FajarUniversity of Indonesia1
Fadhlurrahman AfifUniversity of Indonesia1
Muhammad Anwar Ma’SumUniversity of Indonesia1
Ratna RustamadjiUniversity of Indonesia1
Miesje Karmiati PurwanegaraUniversity of Indonesia1
Sani Muhammad IsaTarumanagara University1
Benny HardjonoPelita Harapan University1
Novian HabibieUniversity of Indonesia1
Machmud Roby AlhamidiUniversity of Indonesia1
Arie Rachmad SyulistyoPoliteknik Negeri Malang1
Dewa Made Sri ArsaUniversity of Indonesia1
Grafika JatiUniversity of Indonesia1
Agung SantosoUniversity of Indonesia1
Rafli FilanoUniversity of Indonesia1
Nurul HanifahUniversity of Indonesia1
Elly Matul ImahUniversitas Negeri Surabaya1
Zumrotun NafisahUniversitas Negeri Surabaya1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SIMULATION OF LANDMARK APPROACH FOR WALL FOLLOWING ALGORITHM ON FIRE-FIGHTING ROBOT USING V-REP</dc:title>
	<dc:creator>Purbarani, Sumarsih Condroayu</dc:creator>
	<dc:creator>A’yunina, Qurrotin</dc:creator>
	<dc:creator>Ma’sum, Muhammad Anwar</dc:creator>
	<dc:creator>Rachmadi, Muhammad Febrian</dc:creator>
	<dc:subject xml:lang="en-US">wall-following</dc:subject>
	<dc:subject xml:lang="en-US">landmark</dc:subject>
	<dc:subject xml:lang="en-US">autonomous</dc:subject>
	<dc:subject xml:lang="en-US">navigation</dc:subject>
	<dc:subject xml:lang="en-US">fire-fighting</dc:subject>
	<dc:description xml:lang="en-US">Autonomous mobile robot has been implemented to assist humans in their daily activity. Autonomous robots have also contributed significantly in human safety. Autonomous mobile robot have been implemented to assist humans in their daily activity. Autonomous robots Have also contributed significantly in human safety. An example of the autonomous robot in the human safety sector is the fire fighting robot, which is the main topic of this paper. As an autonomous robot, the fire fighting robot needs a robust navigation ability to execute a given task in the shortest time interval. Wall-following algorithm is one of several navigating algorithm that simplifies this autonomous navigation problem. As a contribution, we propose two methods that could be combined to make the existing wall-following algorithm more robust. The combined wall-flowing algorithm will be compared to the original wall-following algorithm. By doing so, we could determine which method has more impact on the robot’s navigation robustness. Our goal is to see which method is more effective when combined with the wall-following algorithm.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2015-08-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/308</dc:identifier>
	<dc:identifier>10.21609/jiki.v8i2.308</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 8 No. 2 (2015): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 100 - 110</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v8i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/308/343</dc:relation>
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