Development of a 3D-Printed Omnidirectional Spherical Robot for Industrial Safety Monitoring Using YOLO and ROS2

The development of an omnidirectional spherical robot, fabricated through 3D printing, addresses industrial safety monitoring applications. This system incorporates the YOLO (You Only Look Once) algorithm for real-time detection of personnel and verification of safety gear compliance. The Robot Operating System 2 (ROS2) framework facilitates the integration of sensor data processing, control systems, and vision analysis. The spherical design enables mobility in complex industrial environments, addressing limitations of traditional locomotion methods. This approach targets the challenges inherent in dynamic industrial spaces that require rapid and accurate safety assessments. Experimental evaluations demonstrate the robot's performance in terrain navigation and accuracy of personnel detection and safety gear verification. The integration of robotics, computer vision, and additive manufacturing presents potential advancements in workplace safety protocol implementation and automated compliance monitoring for industrial settings.

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Published
2024-11-20
DOI
https://doi.org/10.1109/icetas62372.2024.11120142
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Development of a 3D-Printed Omnidirectional Spherical Robot for Industrial Safety Monitoring Using YOLO and ROS2

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1 citations
Robotics and Automated Systems
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article

Development of a 3D-Printed Omnidirectional Spherical Robot for Industrial Safety Monitoring Using YOLO and ROS2

Sathees Kumar Nataraj, Deepanwita Das, Syed Mohammad Ali Javed, Adam Abdulla, Ali Husain Altaif, Ali Mahmmed Ashoor, Fadhel Abbas Husain
article en
1 citations

Abstract

The development of an omnidirectional spherical robot, fabricated through 3D printing, addresses industrial safety monitoring applications. This system incorporates the YOLO (You Only Look Once) algorithm for real-time detection of personnel and verification of safety gear compliance. The Robot Operating System 2 (ROS2) framework facilitates the integration of sensor data processing, control systems, and vision analysis. The spherical design enables mobility in complex industrial environments, addressing limitations of traditional locomotion methods. This approach targets the challenges inherent in dynamic industrial spaces that require rapid and accurate safety assessments. Experimental evaluations demonstrate the robot's performance in terrain navigation and accuracy of personnel detection and safety gear verification. The integration of robotics, computer vision, and additive manufacturing presents potential advancements in workplace safety protocol implementation and automated compliance monitoring for industrial settings.

University College of Bahrain (BH)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Robotics and Automated Systems
0.33
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Development of a 3D-Printed Omnidirectional Spherical Robot for Industrial Safety Monitoring Using YOLO and ROS2 — Sathees Kumar Nataraj, Deepanwita Das, et al. · (2024) | TGRS Research Map | TGRS