Review: Issues and Challenges of Simultaneous Localization and Mapping (SLAM) Technology in Autonomous Robot

Authors

  • Muhammad Umar Diginsa Binyaminu Usman Polytechnic Hadejia, Jigawa State
  • Noraimi Shafie Razak Faculty of Technology and Informatics University Teknologi Malaysia Kuala Lumpur, Malaysia
  • Nazir Yusuf Department of Computer Science Hassan Usman Katsina Polytechnic, P.M.B 2052 Katsina, Nigeria
  • Sabi’U Usman Suleiman Department of Computer Engineering Binyaminu Usman Polytechnic, Hadejia. Jigawa, Nigeria

DOI:

https://doi.org/10.11113/ijic.v13n2.408

Keywords:

Autonomous mobile robots, Autonomous guided vehicles, Navigation, vSLAM

Abstract

To aid in robot navigation and environment analysis, visual SLAM systems process visual data. Things like AMRs (autonomous mobile robots) and AGVs (autonomous guided vehicles) have been gaining popularity in recent years. These robots depend significantly on simultaneous localization and mapping (SLAM) technology to keep the factory floor free of accidents. vSLAM employs a technique for estimating the precise positioning and orientation of a sensor relative to its environment as well as the navigation of the region around it. SLAM algorithms can be used in various applications, including self-driving vehicles, mobile robots, drones, etc. Visual SLAM does not refer to a particular set of methods or software. This paper proposes to review some of the issues and challenges facing SLAM technology in autonomous robot applications and draw a conclusion.

Author Biography

Muhammad Umar Diginsa, Binyaminu Usman Polytechnic Hadejia, Jigawa State

 

 

 

 

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Published

2023-11-24

How to Cite

Diginsa, M. U., Shafie, N., Yusuf, N., & Suleiman, S. U. (2023). Review: Issues and Challenges of Simultaneous Localization and Mapping (SLAM) Technology in Autonomous Robot . International Journal of Innovative Computing, 13(2), 59–63. https://doi.org/10.11113/ijic.v13n2.408

Issue

Vol. 13 No. 2: December 2023

Section

Information Systems