| id |
ecaade2022_390 |
| authors |
Çapunaman, Özgüç Bertug and Gürsoy, Benay |
| year |
2022 |
| title |
See - Sense - Respond: An adaptive robotic fabrication framework for post-processing of glass fiber-reinforced plastic architectural panels |
| source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 419426 |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2.419
|
| summary |
The integration of robotic arms into architectural design and research has opened new possibilities for conceptualizing and materializing architecture. However, despite the precision and control, they have significant limitations related to sensing and responding to the physical environment. These limitations implicitly define what can be designed and built, especially in high precision and large-scale architectural applications. One such example is the robotic tooling of large-scale glass-fiber-reinforced plastic panels. In this paper, we present the first stages of research in which we employ computer-vision algorithms to augment the robotic fabrication process. This paper focuses on the technical implementation of this visually augmented robotic fabrication framework. The practical applications are kept secondary and are showcased with a simple experiment on robotic drawing. |
| keywords |
Augmented Robotics, Adaptive Fabrication, Computer Vision, Human-Computer Interaction |
| series |
eCAADe |
| email |
okc5048@psu.edu |
| full text |
 file.pdf (1,439,709 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/04/22 07:10 |
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