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Autonomous Robot for Efficient Indoor RF Measurements

Aleksander Krupa, Bartosz Multan, Mateusz Groth, Krzysztof Nyka, Łukasz Kulas

Year
2024
Citations
2

Abstract

In this paper, we addresses the emergence of autonomous and semi-autonomous radio frequency (RF) measurements as a vital application for robots, particularly in indoor environments where traditional methods are labor-intensive and error-prone. We propose a method utilizing Autonomous Mobile Robots (AMRs) equipped with Light Detection and Ranging (LiDAR) and RGB-D cameras to conduct precise and repetitive RF signal measurements autonomously. The system architecture, comprising both hardware and software components, enables seamless integration and operation, reducing human intervention to preparation and analysis tasks. The proposed solution demonstrates its efficacy through experimental validation, showcasing its capability to conduct autonomous measurements with high precision and efficiency, thereby enhancing the testing of wireless communication systems and algorithms.

Keywords

Computer scienceRobotMobile robotRadio frequencyEnvironmental scienceArtificial intelligenceTelecommunications

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