Autonomous Mobile Robot Design and Testing for Data Center Monitoring Mission | Zendy

Fatah Chetouane | Zendy

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Autonomous Mobile Robot Design and Testing for Data Center Monitoring Mission

Author(s) -

Fatah Chetouane

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3610346

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper presents a cost-effective autonomous mobile robot (AMR) designed for remote data center monitoring, motivated by the need to enhance operational efficiency and reduce human intervention in critical infrastructure. The proposed model integrates a TurtleBot Kobuki base with a novel SRF10-based virtual bumper system, RPLIDAR scanner, and GoPro camera, enabling autonomous navigation, obstacle avoidance, and high-resolution photo capture in data center corridors. Developed through a university-industrial collaboration, the prototype leverages ROS-compatible subroutines to minimize development costs. Laboratory and real-world tests validate the AMR’s performance, achieving 92% navigation success and 94.2% gap navigation accuracy, while identifying limitations like positioning errors and low-clearance obstacle detection. Proposed upgrades, including a faster LIDAR and enhanced computing power, aim to meet industrial standards. This study establishes a foundation for scalable, automated monitoring solutions across data centers and similar sectors.

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