Computer vision for real-time extrusion quality monitoring and control in robotic construction
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In terms of accuracy and responsiveness to material variations, the obtained experimental results imply the excellent potential for using computer vision for automated quality monitoring of construction-scale 3D printing.
“In terms of accuracy and responsiveness to material variations, the obtained experimental results imply the excellent potential for using computer vision for automated quality monitoring of construction-scale 3D printing.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [113]
The vision system detected all designed variation levels (±5 to ±15 L/m 3 change in the water in the mixture).
“The vision system detected all designed variation levels (±5 to ±15 L/m 3 change in the water in the mixture).”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [113]
The developed system can print up to ten 120 cm long concrete layers.
“The developed system can print up to ten 120 cm long concrete layers.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [113]
It uses an extrusion mechanism similar to the Contour Crafting machine to print layers having a height of 3.81 cm and a width of 2.54 cm, from concrete and mortar at different linear speeds (up to 10 cm/s) and deposition rates.
“It uses an extrusion mechanism similar to the Contour Crafting machine to print layers having a height of 3.81 cm and a width of 2.54 cm, from concrete and mortar at different linear speeds (up to 10 cm/s) and deposition rates.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [113]
Cites
Dimitrov, A., & Golparvar-Fard, M. (2014) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.11.002 · Cited by 261 · see citing works
Construction by contour crafting using sulfur concrete with planetary applications
Khoshnevis, B., Yuan, X., Zahiri, B., Zhang, J., & Xia, B. (2016) · Rapid Prototyping Journal · doi:10.1108/rpj-11-2015-0165 · Cited by 115 · see citing works
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Machine learning in concrete science: applications, challenges, and best practices
Li, Z., Yoon, J., Zhang, R., Rajabipour, F., Srubar III, W. V., Dabo, I., & Radlińska, A. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00810-x · Cited by 388 · see citing works
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
A Modular Smart Vision System for Industrial Inspection and Control of Conformity
El Helou, M., Benfriha, K., Al-Ahmari, A. M., Wardle, P., Talhi, E., Loubère, S., El Zant, C., & Charrier, Q. (2022) · Smart and Sustainable Manufacturing Systems · doi:10.1520/ssms20220003 · Cited by 7 · see citing works
- Authors
- Kazemian, A., Yuan, X., Davtalab, O., & Khoshnevis, B.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Kazemian, Ali
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 101
- Pages
- 92-98
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2911537418
- Cited by
- 170
- References
- 2
- Citations by year
- 2026: 27 · 2025: 30 · 2024: 32 · 2023: 26 · 2022: 25 · 2021: 15 · 2020: 13 · 2019: 2
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- Locations
- Automation in Construction (publishedVersion)
- Civil War Book Review (submittedVersion)
- Topics
- Physical Sciences › Engineering › Building and Construction › Innovations in Concrete and Construction Materials
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
- Keywords
- robot construction, extrusion, real-time quality monitoring, computer vision, feedback control, additive manufacturing
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