research-article

Implementation of a Robotic Arm with 3D Vision for Shoes Glue Spraying System

Authors:

Chun-Yi Lee,

Tsai-Ling Kao,

Ko-Shyang WangAuthors Info & Claims

CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence

Pages 562 - 565

https://doi.org/10.1145/3297156.3297171

Published: 08 December 2018 Publication History

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Abstract

Traditionally, the 3D vision guidance and robotic arm are integrated for a stationary object recognition and grasping. In the paper, an automatic glue spray system of shoes is developed for the cementing process. The system consists of a structured light module and a glue spray robot. In the beginning, the structured light scans a shoe from different angles to obtain the partial 3D model. And, a whole shoe model is created. On the other hand, a camera takes pictures of a shoe from different angles to detect the target area. In the target area, the normal vector is calculated by 3D point cloud data. And, the normal vector provides the information to the glue spray robot. Then, the path planning is given and the cementing process is well done.

References

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G. Wang, J. Cheng, R. Li, and K. Chen, "A new point cloud slicing based path planning algorithm for robotic spray painting," in 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015, pp. 1717--1722.

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Cited By

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Gómez-Hernández JGutiérrez-Hernández JJimeno-Morenilla ASánchez-Romero JFabregat-Periago M(2024)Development of an Integrated Robotic Workcell for Automated Bonding in Footwear ManufacturingIEEE Access10.1109/ACCESS.2024.335044112(5066-5080)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3350441
Forlini MCiccarelli MCarbonari LPapetti APalmieri G(2024)Smart automation in luxury leather shoe polishing: a human centric robotic approachInternational Journal of Computer Integrated Manufacturing10.1080/0951192X.2024.2421313(1-15)Online publication date: 30-Oct-2024
https://doi.org/10.1080/0951192X.2024.2421313
Jang WPark SChung SHwang MKim M(2023)Automation of Shoe Upper Adhesive Spraying Process Using RobotJournal of the Korean Society for Precision Engineering10.7736/JKSPE.023.09340:12(981-988)Online publication date: 1-Dec-2023
https://doi.org/10.7736/JKSPE.023.093
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Index Terms

Implementation of a Robotic Arm with 3D Vision for Shoes Glue Spraying System
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Vision for robotics

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Published In

CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence

December 2018

641 pages

ISBN:9781450366069

DOI:10.1145/3297156

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Shenzhen University: Shenzhen University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 December 2018

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CSAI '18

CSAI '18: 2018 2nd International Conference on Computer Science and Artificial Intelligence

December 8 - 10, 2018

Shenzhen, China

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Cited By

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Gómez-Hernández JGutiérrez-Hernández JJimeno-Morenilla ASánchez-Romero JFabregat-Periago M(2024)Development of an Integrated Robotic Workcell for Automated Bonding in Footwear ManufacturingIEEE Access10.1109/ACCESS.2024.335044112(5066-5080)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3350441
Forlini MCiccarelli MCarbonari LPapetti APalmieri G(2024)Smart automation in luxury leather shoe polishing: a human centric robotic approachInternational Journal of Computer Integrated Manufacturing10.1080/0951192X.2024.2421313(1-15)Online publication date: 30-Oct-2024
https://doi.org/10.1080/0951192X.2024.2421313
Jang WPark SChung SHwang MKim M(2023)Automation of Shoe Upper Adhesive Spraying Process Using RobotJournal of the Korean Society for Precision Engineering10.7736/JKSPE.023.09340:12(981-988)Online publication date: 1-Dec-2023
https://doi.org/10.7736/JKSPE.023.093
Song LXiang ZWang YYang YZhu XHuang H(2023)Method of generating roughening paths for shoe soles based on monocular encoded structured lightPhysica Scripta10.1088/1402-4896/ace80598:9(095010)Online publication date: 7-Aug-2023
https://doi.org/10.1088/1402-4896/ace805
Prezas LMichalos GArkouli ZKatsikarelis AMakris S(2022)AI-enhanced vision system for dispensing process monitoring and quality control in manufacturing of large partsProcedia CIRP10.1016/j.procir.2022.05.144107(1275-1280)Online publication date: 2022
https://doi.org/10.1016/j.procir.2022.05.144
Borrell Méndez JCremades DNicolas FPerez-Vidal CSegura-Heras J(2021)Conceptual and Preliminary Design of a Shoe Manufacturing PlantApplied Sciences10.3390/app11221105511:22(11055)Online publication date: 22-Nov-2021
https://doi.org/10.3390/app112211055
Zaki ADmytriyev YCastelli KCarnevale MGiberti H(2021)Trajectory Planning for Contact-Based Robotic Applications by Use of a 3D Stereo Depth Camera2021 3rd International Conference on Robotics and Computer Vision (ICRCV)10.1109/ICRCV52986.2021.9546958(68-72)Online publication date: 6-Aug-2021
https://doi.org/10.1109/ICRCV52986.2021.9546958
Xu GZhang HMeng ZSun Y(2021)Automatic interpolation algorithm for NURBS trajectory of shoe sole spraying based on 7-DOF robotInternational Journal of Clothing Science and Technology10.1108/IJCST-05-2021-005834:3(434-450)Online publication date: 13-Dec-2021
https://doi.org/10.1108/IJCST-05-2021-0058
Castelli KZaki ADmytriyev YCarnevale MGiberti H(2020)A Feasibility Study of a Robotic Approach for the Gluing Process in the Footwear IndustryRobotics10.3390/robotics1001000610:1(6)Online publication date: 31-Dec-2020
https://doi.org/10.3390/robotics10010006

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