2022
DOI: 10.52842/conf.ecaade.2022.2.409
|View full text |Cite
|
Sign up to set email alerts
|

Environment-Aware 3D Concrete Printing through Robot-Vision

Abstract: In the 2020s, large scale 3D concrete printing (3DCP) is one of the most important areas of development for research and industry in construction automation. However, the available technology fails to adapt to the complexity of a real construction site and building process, oversimplifying design, production, and products to fit the current state of technology. We hypothesise that by equipping printing machinery with sensing devices and adaptive design algorithms we can radically expand the range of applicatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 8 publications
0
5
0
Order By: Relevance
“…Though the study provided a unique way, optimization studies still need to eliminate the clashes within the robots and between the robot and printed structure. Naboni et al (2022) presented an environment-aware 3DCP system by employing a depth camera on a robotic system to collect geometric information in the form of a point. The collected information and environment-aware generative design algorithms are used to plan the tool path for the fabrication of the elements.…”
Section: Robotic Arm 3d Printermentioning
confidence: 99%
“…Though the study provided a unique way, optimization studies still need to eliminate the clashes within the robots and between the robot and printed structure. Naboni et al (2022) presented an environment-aware 3DCP system by employing a depth camera on a robotic system to collect geometric information in the form of a point. The collected information and environment-aware generative design algorithms are used to plan the tool path for the fabrication of the elements.…”
Section: Robotic Arm 3d Printermentioning
confidence: 99%
“…The integration of sensor feedback in robotic solutions is an essential aspect that enables the effective realization of non-standard tasks. In this multidisciplinary approach, researchers from Computational Design, Robotics, and Human-Computer Interaction, have demonstrated successful applications and discussed how some of the conventional limitations in dealing with nonstandard materials (Garcia del Castillo y Lopez, 2022; Larsen & Aagaard, 2020), complex geometries (Çapunaman et al, 2022;Naboni, 2022;Nicholas et al, 2020), unconventional manipulation tasks (Brugnaro et al, 2016;Im et al, 2018;Snooks & Jahn, 2016), and interactive operations (Felbrich et al, 2022;Mitterberger, 2022;Mueller et al, 2019;Tokac et al, 2022) could be addressed. In addition, researchers have successfully showcased the viability of augmented robotic manufacturing systems by employing diverse methods and materials.…”
Section: Augmented Fabricationmentioning
confidence: 99%
“…In addition, researchers have successfully showcased the viability of augmented robotic manufacturing systems by employing diverse methods and materials. These include additive production processes with cementitious (Çapunaman et al, 2022;Ercan Jenny et al, 2020;Im et al, 2018;Naboni, 2022) and thermoplastic materials (Felbrich et al, 2022;Kwon et al, 2019;Nicholas et al, 2020), subtractive production processes involving carving and milling techniques (Brugnaro & Hanna, 2019;Çapunaman et al, 2022;Garcia del Castillo y Lopez, 2022;Shaked et al, 2021), and formative production processes utilizing various material systems (Mueller et al, 2019;Rossi & Nicholas, 2018).…”
Section: Augmented Fabricationmentioning
confidence: 99%
“…While proving the effectiveness of 3D printing on non-planar surface geometries, the works in literature are limited to a linear workflow of forming and printing without notions of material behaviour and process accuracy. Naboni et al (2022) integrated sensor feedback, i.e. camera vision, to scan an unknown gravel environment and generate emergent design solutions with conformal 3DCP toolpaths.…”
Section: State-of-the-art In Conformal 3dcp and Terrain Manipulationmentioning
confidence: 99%