Programming of Industrial Robots Using the Recognition of Geometric Signs in Flexible Welding Process
Open accessAbstract
The purpose of the article was to build a low-cost system for identifying shapes in order to program industrial robots (on the base of the six-axis “ABB IRB 140” robot) for a welding process in 2D. The whole system consisted of several elements developed in individual stages. The first step was to identify the existing robot control systems, which analysed images from an attached low-cost digital camera. Then, a computer program, which handles communication with the digital camera capturing and processing, was written. In addition, the program’s task was to detect geometric shapes (contours) drawn by humans and to approximate them. This study also presents research on a binarization and contour recognition method for this application. Based on this, the robot is able to weld the same contours on a 2D plane.
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A low-cost shapes identification system based on an ABB IRB 140 robot and a digital camera was developed and implemented for programming industrial robots for 2D welding.
“Based on the ABB IRB 140 robot and a digital camera, a lowcost shapes identification system was developed and implemented, which is particularly important due to the high variability of welded products [44].”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [44]
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Research works printed but not linked: 10
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Advanced Applications of Industrial Robotics: New Trends and Possibilities
Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021) · Applied Sciences · doi:10.3390/app12010135 · Cited by 228 · see citing works
- Authors
- Ciszak, O., Juszkiewicz, J., & Suszyński, M.
- Affiliations
- Poznań University of Technology (PL)
- Corresponding author
- Suszyński, Marcin
- Venue
- Symmetry
- Publisher
- MDPI AG
- Published
- 2020-08-28
- Volume
- 12
- Issue
- 9
- Pages
- 1429
- ISSN
- 2073-8994 (ISSN-L)
- OpenAlex
- W3082281748
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 2 · 2021: 6
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Symmetry (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
- Keywords
- industrial robot programming, geometric shape recognition, low-cost digital cameras, binarization, contour detection, contour approximation, robot control system
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