| id |
caadria2019_403 |
| authors |
Lin, Xuhui and Muslimin, Rizal |
| year |
2019 |
| title |
RESHAPE - Rapid forming and simulation system using unmanned aerial vehicles for architectural representation |
| doi |
https://doi.org/10.52842/conf.caadria.2019.1.413
|
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 413-422 |
| summary |
As digital technology advances, multiple ways of repre-senting objects interactively in space, architects and designers begin to use Virtual Reality (VR) and Immersive Digital Environ-ments (IDE) to communicate their ideas. However, these technolo-gies are bounded with their spatial limitations. In responding to this issue, our paper introduces ReShape, a digital-physical spatial representation system supported by Unmanned Aerial Vehicle (UAV) swarm technology that allows a user to project their unbuilt design and interact with them in real space, unattached by headset, fixed cameras or screen. ReShape can be controlled by user orien-tation and gesture as an input, where the real-time feedback is provided by UAV spatial arrangement in space, augmented by computational simulation. Spatial data is transmitted between the UAV agents for the user to experience the digital model, creating a versatile and computationally efficient platform to edit and en-hance the design in real-space. This paper outlines four systems in ReShape, i.e., (1) detection system to identify and locate the user position and orientation; (2) task-arrangement system to provide spatial information to the UAV agents; (3) UAV's communicating system to control the UAV position and task in space; and (4) Physical-Digital forming system, to project digital simulation by the UAV agents. |
| keywords |
UAV system; Spatial representation; a detecting sys-tem; human-computation interaction |
| series |
CAADRIA |
| email |
rizal.muslimin@sydney.edu.au |
| full text |
 file.pdf (3,441,890 bytes) |
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Content-type: text/plain
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| last changed |
2022/06/07 07:59 |
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