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Bibliographic Details
Main Author: Zhang, Shuhan
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.21226
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Table of 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.