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Published on 28 March 2025
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Long,L.;Li,Y.;Yang,X.;Tang,Q.;Feng,Y. (2025). Design of visual material sorting simulation workstation based on RobotStudio. Advances in Engineering Innovation,16(3),24-30.
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Design of visual material sorting simulation workstation based on RobotStudio

Liangjun Long 1, Yanhao Li 2, Xing Yang 3, Qi Tang 4, Yetao Feng *,5,
  • 1 Geely University of China
  • 2 Geely University of China
  • 3 Geely University of China
  • 4 Geely University of China
  • 5 Geely University of China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/2025.21828

Abstract

In order to improve the degree of automation and efficiency of material sorting, virtual simulation technology is explored for verification in the design stage. This paper takes a robot for visual recognition and grasping a simple material model as an example to build a three-dimensional workstation model and integrate the robot's motion planning strategy. In the development environment of ABB's offline programming and simulation software Robotstudio, 3D modeling of related equipment was first carried out, and the spatial layout of workstation was completed according to the task requirements. Secondly, it is necessary to complete the selection of conveyor belts, the design of dynamic Smart components, the logical connection of workstations, and the loading and unloading path planning of mechanical arms. Finally, simulation verification is carried out. The simulation workstation realizes real-time collaborative optimization between the vision system and the robot controller, improving the flexibility and accuracy of the sorting process. The workstation helps to improve the sorting efficiency, and provides a certain reference for the follow-up research of industrial robot visual material sorting design.

Keywords

RobotStudio, simulation workstation, machine vision

[1]. Chen, X. H. (2024). Research on Key Technologies of Intelligent Material Sorting System Based on Industrial Robot Vision [D]. Jinan University. https://doi.org/10.27167/d.cnki.gjinu.2022.000710

[2]. Deng, H. J., Duan, Y. H., & Lu, P. W. (2023). Virtual Simulation Platform for Robot Handling and Palletizing Based on RobotStudio. Automation and Information Engineering, 44(1), 27-32.

[3]. Feng, L. Y., Zeng, X. P., Li, Q., & Wang, C. F. (2023). Simulation of Robot Sorting and Packaging Workstation Based on Conveyor Belt and Visual Tracking. Packaging Engineering, 44(13), 227-235.

[4]. Hao, R. L., Zhou, L. J., Cai, G. Q., Liu, H., & Sun, Y. J. (2022). Simulation of Biscuit Packaging Production Line Based on Machine Vision and RobotStudio. Packaging and Food Machinery, 40(1), 64-69.

[5]. Peng, H. H., Liu, F. F., Dai, Y. Y., Chen, Z. Y., & Chen, W. T. (2020). Application Research of Industrial Robot Sorting System Based on Mobile Vision. Modern Electronics Technique, 43(20), 26-30.

[6]. Wen, S. Q., Song, Z. D., & Zhao, W. (2023). Design of Robot Vision Sorting Simulation Workstation. Changjiang Information & Communications, 36(04), 32-35+38.

Cite this article

Long,L.;Li,Y.;Yang,X.;Tang,Q.;Feng,Y. (2025). Design of visual material sorting simulation workstation based on RobotStudio. Advances in Engineering Innovation,16(3),24-30.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Advances in Engineering Innovation

Volume number: Vol.16
ISSN:2977-3903(Print) / 2977-3911(Online)

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