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Main Authors: Kang, Taewon, Kwon, Ji-Wook, Bae, Il, Kim, Jin Hyo
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2507.19100
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author Kang, Taewon
Kwon, Ji-Wook
Bae, Il
Kim, Jin Hyo
author_facet Kang, Taewon
Kwon, Ji-Wook
Bae, Il
Kim, Jin Hyo
contents Localization of mobile robots is crucial for deploying robots in real-world applications such as search and rescue missions. This work aims to develop an accurate localization system applicable to swarm robots equipped only with low-cost monocular vision sensors and visual markers. The system is designed to operate in fully open spaces, without landmarks or support from positioning infrastructures. To achieve this, we propose a localization method based on equilateral triangular formations. By leveraging the geometric properties of equilateral triangles, the accurate two-dimensional position of each participating robot is estimated using one-dimensional lateral distance information between robots, which can be reliably and accurately obtained with a low-cost monocular vision sensor. Experimental and simulation results demonstrate that, as travel time increases, the positioning error of the proposed method becomes significantly smaller than that of a conventional dead-reckoning system, another low-cost localization approach applicable to open environments.
format Preprint
id arxiv_https___arxiv_org_abs_2507_19100
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
Kang, Taewon
Kwon, Ji-Wook
Bae, Il
Kim, Jin Hyo
Robotics
Systems and Control
Localization of mobile robots is crucial for deploying robots in real-world applications such as search and rescue missions. This work aims to develop an accurate localization system applicable to swarm robots equipped only with low-cost monocular vision sensors and visual markers. The system is designed to operate in fully open spaces, without landmarks or support from positioning infrastructures. To achieve this, we propose a localization method based on equilateral triangular formations. By leveraging the geometric properties of equilateral triangles, the accurate two-dimensional position of each participating robot is estimated using one-dimensional lateral distance information between robots, which can be reliably and accurately obtained with a low-cost monocular vision sensor. Experimental and simulation results demonstrate that, as travel time increases, the positioning error of the proposed method becomes significantly smaller than that of a conventional dead-reckoning system, another low-cost localization approach applicable to open environments.
title Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
topic Robotics
Systems and Control
url https://arxiv.org/abs/2507.19100