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Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.

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 (SL...

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Main Authors: Yusuf, Nazir, Diginsa, Muhammad Umar, Shafie, Noraimi, Suleiman, Sabi’U Usman
Format: Article
Language:English
Published: Penerbit UTM Press 2023
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/108452/1/MuhammadUmarDiginsa2023_ReviewIssuesandChallengesofSimultaneous.pdf
http://eprints.utm.my/108452/
http://dx.doi.org/10.11113/ijic.v13n2.408
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spelling my.utm.1084522024-11-12T07:21:34Z http://eprints.utm.my/108452/ Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot. Yusuf, Nazir Diginsa, Muhammad Umar Shafie, Noraimi Suleiman, Sabi’U Usman T Technology (General) 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. Penerbit UTM Press 2023-05-30 Article PeerReviewed application/pdf en http://eprints.utm.my/108452/1/MuhammadUmarDiginsa2023_ReviewIssuesandChallengesofSimultaneous.pdf Yusuf, Nazir and Diginsa, Muhammad Umar and Shafie, Noraimi and Suleiman, Sabi’U Usman (2023) Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot. nternational Journal of Innovative Computing, 13 (2). pp. 59-63. ISSN 2180-4370 http://dx.doi.org/10.11113/ijic.v13n2.408 DOI:10.11113/ijic.v13n2.408
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Yusuf, Nazir
Diginsa, Muhammad Umar
Shafie, Noraimi
Suleiman, Sabi’U Usman
Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
description 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.
format Article
author Yusuf, Nazir
Diginsa, Muhammad Umar
Shafie, Noraimi
Suleiman, Sabi’U Usman
author_facet Yusuf, Nazir
Diginsa, Muhammad Umar
Shafie, Noraimi
Suleiman, Sabi’U Usman
author_sort Yusuf, Nazir
title Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
title_short Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
title_full Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
title_fullStr Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
title_full_unstemmed Review: issues and challenges of simultaneous localization and mapping (SLAM) technology in autonomous robot.
title_sort review: issues and challenges of simultaneous localization and mapping (slam) technology in autonomous robot.
publisher Penerbit UTM Press
publishDate 2023
url http://eprints.utm.my/108452/1/MuhammadUmarDiginsa2023_ReviewIssuesandChallengesofSimultaneous.pdf
http://eprints.utm.my/108452/
http://dx.doi.org/10.11113/ijic.v13n2.408
_version_ 1816130052047241216
score 13.244413

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