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.
Authors
- Sathees Kumar Nataraj (ORCID: https://orcid.org/0000-0002-7156-8117)
- Deepanwita Das (ORCID: https://orcid.org/0000-0002-7438-8146)
- Syed Mohammad Ali Javed
- Adam Abdulla
- Ali Husain Altaif
- Ali Mahmmed Ashoor
- Fadhel Abbas Husain
Institutions
- University College of Bahrain (BH)
Publication Details
- 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