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Intelligent Robotics Navigation System: Problems, Methods, and Algorithm

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 6 (2017)

DOI
10.11591/ijece.v7i6.pp3711-3726
ISSN
2088-8708, 2088-8708
Published
2017-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper set out to supplement new studies with a brief and comprehensible review of the advanced development in the area of the navigation system, starting from a single robot, multi-robot, and swarm robots from a particular perspective by taking insights from these biological systems. The inspiration is taken from nature by observing the human and the social animal that is believed to be very beneficial for this purpose. The intelligent navigation system is developed based on an individual characteristic or a social animal biological structure. The discussion of this paper will focus on how simple agent’s structure utilizes flexible and potential outcomes in order to navigate in a productive and unorganized surrounding. The combination of the navigation system and biologically inspired approach has attracted considerable attention, which makes it an important research area in the intelligent robotic system. Overall, this paper explores the implementation, which is resulted from the simulation performed by the embodiment of robots operating in real environments.

Collaboration network of the authors

38 authors · 156 co-authorship links · 14 across different organisations

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

  • Sriwijaya University
  • Politeknik Negeri Sriwijaya
  • Indonesian Institute of Sciences
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Annisa DarmawahyuniSriwijaya University12
Ade Iriani SapitriSriwijaya University9
Muhammad Naufal RachmatullahSriwijaya University9
Anggun IslamiSriwijaya University6
Firdaus FirdausAffiliation unknown6
Akhiar Wista ArumSriwijaya University4
Irsyadi YaniSriwijaya University2
Ade SilviaPoliteknik Negeri Sriwijaya2
Bhakti Yudho SupraptoSriwijaya University2
Firdaus FirdausSriwijaya University2
Ghita AthalinaAffiliation unknown2
Muhammad Alpim Alfa RolisAffiliation unknown2
Sutarno SutarnoIndonesian Institute of Sciences2
Samsuryadi SamsuryadiAffiliation unknown2
Nuswil BernolianAffiliation unknown2
Nurul AfifahAffiliation unknown2
Winda Kurnia SariAffiliation unknown2
Jordan MarcelinoAffiliation unknown2
Rendy IsdwantaAffiliation unknown2
Cholidah Zuhroh KhairunnisaAffiliation unknown2
Nyayu Latifah HusniPoliteknik Negeri Sriwijaya1
Tresna DewiPoliteknik Negeri Sriwijaya1
Pola RismaPoliteknik Negeri Sriwijaya1
Yurni OktarinaPoliteknik Negeri Sriwijaya1
Muhammad RorizPoliteknik Negeri Sriwijaya1
Erliza YuniartiAffiliation unknown1
Radiyati Umi PartanAffiliation unknown1
Hadi SyaputraAffiliation unknown1
Muhammad Taufik RosenoAffiliation unknown1
Dian Palupi RiniAffiliation unknown1
Renny Amalia PratiwiAffiliation unknown1
Sukemi SukemiAffiliation unknown1
M. Naufal RachmatullahAffiliation unknown1
Deris StiawanSriwijaya University1
Ahmad ZarkasiAffiliation unknown1
Nyayu Latifah HusniAffiliation unknown1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
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