Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration

The modern industrial sector is placing a growing emphasis on sustainability and efficiency. The concept of Industry 5.0 builds upon Industry 4.0, aiming to combine human skills with advanced technologies to create flexible and responsive manufacturing systems. This paper discusses Zero Defect Manufacturing (ZDM), which emphasizes the production of flawless components from the beginning. The paper introduces a pilot line for ZDM, which includes a collaborative robotic quality inspection system that integrates artificial vision and AI decision-making. The system consists of a manipulator robot, an industrial camera, an AI IoT node utilizing a segmentation algorithm for quality control based on YOLO V10, a human operator, and an Autonomous Mobile Robot (AMR) to ensure the safety of the human operator. All these components are interconnected using MQTT and ROS2. The results of the pilot line demonstrate significant improvements in quality control, reduced waste, and enhanced operational efficiency, all of which are in line with the principles of Industry 5.0.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/robot61475.2024.10797427
Citations
3
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.05
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article

Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration

Alberto Villalonga, David Delgado Alfaro, Yarens J. Cruz, José L. Martínez Lastra et al.
3 citations
Manufacturing Process and Optimization
1.05
article

Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration

Alberto Villalonga, David Delgado Alfaro, Yarens J. Cruz, José L. Martínez Lastra, Fernando Castaño, Rodolfo E. Haber
article en
3 citations

Abstract

The modern industrial sector is placing a growing emphasis on sustainability and efficiency. The concept of Industry 5.0 builds upon Industry 4.0, aiming to combine human skills with advanced technologies to create flexible and responsive manufacturing systems. This paper discusses Zero Defect Manufacturing (ZDM), which emphasizes the production of flawless components from the beginning. The paper introduces a pilot line for ZDM, which includes a collaborative robotic quality inspection system that integrates artificial vision and AI decision-making. The system consists of a manipulator robot, an industrial camera, an AI IoT node utilizing a segmentation algorithm for quality control based on YOLO V10, a human operator, and an Autonomous Mobile Robot (AMR) to ensure the safety of the human operator. All these components are interconnected using MQTT and ROS2. The results of the pilot line demonstrate significant improvements in quality control, reduced waste, and enhanced operational efficiency, all of which are in line with the principles of Industry 5.0.

Tampere University (FI), Centre for Automation and Robotics (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Manufacturing Process and Optimization
1.05
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Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration — Alberto Villalonga, David Delgado Alfaro, et al. · (2024) | TGRS Research Map | TGRS