An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges
Open Access
- 18 November 2024
- conference paper
- Published by MDPI AG in Engineering Proceedings
- Vol. 77 (1) , 19
Abstract
The manufacturing, assembly, and packaging processes of industrial hinges must improve their productivity. To address this challenge, a technological system based on a robot arm and vision machine was developed, integrated, and evaluated. The devices that make up the hardware architecture are the following: the Epson VT6L six-degrees-of-freedom industrial robot arm, the Compact Vision CV2-HA image-processing device, the Basler acA1600-20gc camera, and the end effector based on 3 kg holding force electromagnets. The software elements used for the development of this automated system are the SPEL+ programming language and VisionGuide tool, both of which are integrated into the Epson RC+ robotic system development environment. For the performance evaluation of the hinges and packaging identification algorithms, 80 hinges of each type were used as input to the robotic system workstation. As a result, the following results were obtained: (1) the hinge identification algorithms were 100% correct, (2) the primary packaging identification algorithm was 100% correct, and (3) the hinge assembly algorithm was 92.5% correct because it had six errors. These results provide evidence of the effectiveness of the developed system. In addition, the motion times of the robot arm were analyzed in detail to identify opportunities for improving the automated production process.Keywords
Funding Information
- Universidad Técnica Particular de Loja (PROY_ARTIC_CE_2022_3667)
This publication has 9 references indexed in Scilit:
- A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated EnvironmentsIEEE Access, 2024
- Spatial recognition and positioning system of robotic arm based on binocular vision2024
- Performance Analysis of Motion Control Algorithms of an Industrial Robot Arm Applied to 3D Concrete Printing SystemsEngineering Proceedings, 2023
- A Solution of Pattern Recognition Based on Deep Learning for Robotic Manipulator to Pick Up and Drop ObjectsInternational Journal of Emerging Technology and Advanced Engineering, 2023
- Target Position and Posture Recognition Based on RGB-D Images for Autonomous Grasping Robot Arm Manipulation2020
- Applications of Learning Algorithms to Industrial Robotics2020
- Pattern Recognition with Using Effective Algorithms and Methods of Computer Vision Library2019
- Simple Real-Time Pattern Recognition for Industrial Automation2017
- Deep Learning Triggers a New Era in Industrial RoboticsIEEE MultiMedia, 2017