An Exhibition Environment with 2D Markers for Guide Robot

The guide robot in an exhibition environment is expected to entertain visitors and reduce the maintenance cost of updating the robot database according to the changes in exhibition contents.The exhibition comprises printed panels for humans and a 2D marker printed with ultraviolet ink for robots.2D markers are attached to the bottom of the exhibition furniture to make the markers invisible to visitors.The exhibition point may change depending on the contents of the exhibition.By searching for 2D markers autonomously in an exhibition space, the robot can update its internal database.This enables us to keep both the printed panel and the robot database without changing the robot database by users.The experiment is conducted in an exhibition environment, and the success rate in finding the exhibition point is evaluated.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os18-3
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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An Exhibition Environment with 2D Markers for Guide Robot

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An Exhibition Environment with 2D Markers for Guide Robot

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article en

Abstract

The guide robot in an exhibition environment is expected to entertain visitors and reduce the maintenance cost of updating the robot database according to the changes in exhibition contents.The exhibition comprises printed panels for humans and a 2D marker printed with ultraviolet ink for robots.2D markers are attached to the bottom of the exhibition furniture to make the markers invisible to visitors.The exhibition point may change depending on the contents of the exhibition.By searching for 2D markers autonomously in an exhibition space, the robot can update its internal database.This enables us to keep both the printed panel and the robot database without changing the robot database by users.The experiment is conducted in an exhibition environment, and the success rate in finding the exhibition point is evaluated.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Kyushu Institute of Technology (JP)
Sustainable cities and communities
Openalex Percentile: Top 68%
Robotic Path Planning Algorithms
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