Design and implementation of an AI-integrated 6-DOF robotic arm for automated package and orientation recognition

This paper presents the design and fabrication of a 6-degree-of-freedom robotic arm, integrated with image processing for package recognition and artificial intelligence for determining the orientation of beverage cans. The robotic arm is constructed from extruded aluminum to ensure rigidity and flexibility, and it is precisely controlled by hybrid servo motors combined with a pulley-belt mechanism. The first camera detects the position and orientation of the can (standing or lying), while the second camera identifies the type of package moving along the conveyor. The system calculates the timing for the robot to pick up the correct number of cans corresponding to each package type (1, 2, or 3 compartments). Research and experimental results show that the package recognition system achieves an accuracy of 91.02%, while the AI model for determining can orientation reaches an accuracy of 99.375%, demonstrating high efficiency and reliability.

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Publication Details

Journal
The University of Danang - Journal of Science and Technology
Published
2025-09-30
DOI
https://doi.org/10.31130/ud-jst.2025.23(9d).555e
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Design and implementation of an AI-integrated 6-DOF robotic arm for automated package and orientation recognition

Van Thuong Nguyen, Nhu Thanh Vo, Ba Thai, Tien Ton That
The University of Danang - Journal of Science and Technology
Advanced Manufacturing and Logistics Optimization
article

Design and implementation of an AI-integrated 6-DOF robotic arm for automated package and orientation recognition

Van Thuong Nguyen, Nhu Thanh Vo, Ba Thai, Tien Ton That
article en

Abstract

This paper presents the design and fabrication of a 6-degree-of-freedom robotic arm, integrated with image processing for package recognition and artificial intelligence for determining the orientation of beverage cans. The robotic arm is constructed from extruded aluminum to ensure rigidity and flexibility, and it is precisely controlled by hybrid servo motors combined with a pulley-belt mechanism. The first camera detects the position and orientation of the can (standing or lying), while the second camera identifies the type of package moving along the conveyor. The system calculates the timing for the robot to pick up the correct number of cans corresponding to each package type (1, 2, or 3 compartments). Research and experimental results show that the package recognition system achieves an accuracy of 91.02%, while the AI model for determining can orientation reaches an accuracy of 99.375%, demonstrating high efficiency and reliability.

The University of Danang - Journal of Science and Technology
Chungnam National University (KR), University of Da Nang (VN)
Openalex Percentile: Top 58%
Advanced Manufacturing and Logistics Optimization
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