Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References

Hits 1 to 3 of 3

Reformat results as: short short into frame detailed detailed into frame

_id	ecaadesigradi2019_514
id	ecaadesigradi2019_514
authors	de Miguel, Jaime, Villafa?e, Maria Eugenia, Piškorec, Luka and Sancho-Caparrini, Fernando
year	2019
title	Deep Form Finding - Using Variational Autoencoders for deep form finding of structural typologies
doi	https://doi.org/10.52842/conf.ecaade.2019.1.071
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 71-80
summary	In this paper, we are aiming to present a methodology for generation, manipulation and form finding of structural typologies using variational autoencoders, a machine learning model based on neural networks. We are giving a detailed description of the neural network architecture used as well as the data representation based on the concept of a 3D-canvas with voxelized wireframes. In this 3D-canvas, the input geometry of the building typologies is represented through their connectivity map and subsequently augmented to increase the size of the training set. Our variational autoencoder model then learns a continuous latent distribution of the input data from which we can sample to generate new geometry instances, essentially hybrids of the initial input geometries. Finally, we present the results of these computational experiments and lay out the conclusions as well as outlook for future research in this field.
keywords	artificial intelligence; deep neural networks; variational autoencoders; generative design; form finding; structural design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_467
id	ecaadesigradi2019_467
authors	Petrš, Jan, Dahy, Hanaa and Florián, Miloš
year	2019
title	From MoleMOD to MoleSTRING - Design of self-assembly structures actuated by shareable soft robots
doi	https://doi.org/10.52842/conf.ecaade.2019.3.179
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 179-188
summary	This paper proposes a self-assembling system for architectural application. It is a reaction to current building crisis and high energy consumption by building industry. This Unique system is based on a reconfiguration of passive elements by low-cost soft robots able to move inside as well as configure them into 2D/3D structures similar to recent Modular robots. A goal is to significantly reduce the high price and complexity of state of the art modular robots by minimization of mechatronic parts and using soft materials. The concept focuses on life-cycle management when one system can achieve assembly, reconfiguration, and disassembly with a minimum of waste. The paper compares three different versions of a self-assembly system called MoleMOD: MoleCUBE, MoleCHAIN, and MoleSTRING.
keywords	Self-assembly; Soft robotics; Modular robotics; Reconfigurable string; Adaptive architecture
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_051
id	ecaadesigradi2019_051
authors	Stojanovic, Vladeta, Trapp, Matthias, Richter, Rico, Hagedorn, Benjamin and Döllner, Jürgen
year	2019
title	Semantic Enrichment of Indoor Point Clouds - An Overview of Progress towards Digital Twinning
doi	https://doi.org/10.52842/conf.ecaade.2019.2.809
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 809-818
summary	This paper presents an approach towards the development of a service-oriented platform for semantic enrichment of indoor point clouds. It mainly focuses on integrated methods for the capture of as-is 3D point clouds using commodity mobile hardware, classification of point cloud clusters using a multiview-based method, geometric reconstruction of room boundaries, interactive 3D visualization, sensor data visualization, and tracking of spatial changes and user annotations via a secure ledger. Implementing the methods in a prototypical web-based application, we demonstrate our approach for the semantic enrichment of indoor point clouds and the generation of base data for Digital Twin representation.
keywords	Digital Twin; Indoor Point Cloud; Semantic Enrichment; Real Estate 4.0
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

No more hits.