Real-Time Vision-Based Control of Industrial Manipulators for Layer-Width Setting in Concrete 3D Printing Applications (2022-07)¶

10.1016/j.aime.2022.100094

Barjuei Erfan, Courteille Eric, Rangeard Damien, Marie F., Perrot Arnaud
Journal Article - Advances in Industrial and Manufacturing Engineering

Abstract

In this paper, to have control over geometry specifications of rectangular bar-shaped layers in a robotic concrete 3D printing process, a real-time vision-based control framework is developed and proposed. The proposed control system is able to set the layer-width by automatically adjusting the velocity of an industrial manipulator during the 3D printing process of concrete based materials relying on a vision system feedback. Initially, details related to the control system, vision and processing units, and robotic platform are discussed. In continue, technical descriptions related to the printhead design, conversion process from a digital 3D drawing model to numerical motion control commands of an industrial manipulator and building material used in this work are reported. The reliability and responsiveness of the developed system is then evaluated through experimental tests by printing several single bar-shaped layers with different wideness by means of an unique printhead geometry and also by printing two layers with the same dimension centrally above another. Overall, the high accuracy and responsiveness of the developed system demonstrate a great potential for real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications.

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37 References

31 Citations

BibTeX

@article{barj_cour_rang_mari.2022.RTVBCoIMfLWSiC3PA,
  author            = "Erfan Shojaei Barjuei and Eric Courteille and Damien Rangeard and F. Marie and Arnaud Perrot",
  title             = "Real-Time Vision-Based Control of Industrial Manipulators for Layer-Width Setting in Concrete 3D Printing Applications",
  doi               = "10.1016/j.aime.2022.100094",
  year              = "2022",
  journal           = "Advances in Industrial and Manufacturing Engineering",
}

Formatted Citation

IEEE

E. S. Barjuei, E. Courteille, D. Rangeard, F. Marie and A. Perrot, “Real-Time Vision-Based Control of Industrial Manipulators for Layer-Width Setting in Concrete 3D Printing Applications”, Advances in Industrial and Manufacturing Engineering, 2022, doi: 10.1016/j.aime.2022.100094.

CMOS

Barjuei, Erfan Shojaei, Eric Courteille, Damien Rangeard, F. Marie, and Arnaud Perrot. “Real-Time Vision-Based Control of Industrial Manipulators for Layer-Width Setting in Concrete 3D Printing Applications”. Advances in Industrial and Manufacturing Engineering, 2022. https://doi.org/10.1016/j.aime.2022.100094.