Mobile Robot Navigation Based on Artificial Markers: A Systematic Mapping Study

Mobile robot navigation plays a vital role in robotics, allowing autonomous systems to function effectively across different environments. Artificial markers offer a dependable and efficient solution for localization and mapping, especially in structured environments. This systematic mapping study aims to thoroughly examine the existing body of literature, including research papers that explore mobile robot navigation techniques utilizing artificial markers. Our review systematically analyzes various aspects such as marker types, detection algorithms, and navigation strategies. The study aims to uncover research gaps, highlight emerging trends, and suggest potential future directions. By evaluating the strengths and limitations of current approaches, we strive to address key research questions related to marker-based navigation systems for mobile robots.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2025-06-19
DOI
https://doi.org/10.20965/jrm.2025.p0762
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
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article

Mobile Robot Navigation Based on Artificial Markers: A Systematic Mapping Study

A Al-Marakeby, Salah Abdel-Mageid, Moteb Alghamdi
Journal of Robotics and Mechatronics
Robotics and Sensor-Based Localization
article

Mobile Robot Navigation Based on Artificial Markers: A Systematic Mapping Study

A Al-Marakeby, Salah Abdel-Mageid, Moteb Alghamdi
article en

Abstract

Mobile robot navigation plays a vital role in robotics, allowing autonomous systems to function effectively across different environments. Artificial markers offer a dependable and efficient solution for localization and mapping, especially in structured environments. This systematic mapping study aims to thoroughly examine the existing body of literature, including research papers that explore mobile robot navigation techniques utilizing artificial markers. Our review systematically analyzes various aspects such as marker types, detection algorithms, and navigation strategies. The study aims to uncover research gaps, highlight emerging trends, and suggest potential future directions. By evaluating the strengths and limitations of current approaches, we strive to address key research questions related to marker-based navigation systems for mobile robots.

Journal of Robotics and MechatronicsVol. 37(3)
Al-Azhar University (EG), Taibah University (SA)
Openalex Percentile: Top 81%
Robotics and Sensor-Based Localization
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