Relative Localization System Design for SnailBot: A Modular Self-reconfigurable Robot

Fuente: arXiv
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Autor principal: Zhang, Shuhan
Formato: Preprint
Publicado: 2025
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author Zhang, Shuhan
author_facet Zhang, Shuhan
contents This paper presents the design and implementation of a relative localization system for SnailBot, a modular self reconfigurable robot. The system integrates ArUco marker recognition, optical flow analysis, and IMU data processing into a unified fusion framework, enabling robust and accurate relative positioning for collaborative robotic tasks. Experimental validation demonstrates the effectiveness of the system in realtime operation, with a rule based fusion strategy ensuring reliability across dynamic scenarios. The results highlight the potential for scalable deployment in modular robotic systems.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21226
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Relative Localization System Design for SnailBot: A Modular Self-reconfigurable Robot
Zhang, Shuhan
Robotics
Systems and Control
This paper presents the design and implementation of a relative localization system for SnailBot, a modular self reconfigurable robot. The system integrates ArUco marker recognition, optical flow analysis, and IMU data processing into a unified fusion framework, enabling robust and accurate relative positioning for collaborative robotic tasks. Experimental validation demonstrates the effectiveness of the system in realtime operation, with a rule based fusion strategy ensuring reliability across dynamic scenarios. The results highlight the potential for scalable deployment in modular robotic systems.
title Relative Localization System Design for SnailBot: A Modular Self-reconfigurable Robot
topic Robotics
Systems and Control
url https://arxiv.org/abs/2512.21226