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

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

_id	acadia18_312
id	acadia18_312
authors	Ariza, Inés; Mirjan, Ammar; Gandia, Augusto; Casas, Gonzalo; Cros, Samuel; Gramazio, Fabio; Kohler, Matthias.
year	2018
title	In Place Detailing. Combining 3D printing and robotic assembly
doi	https://doi.org/10.52842/conf.acadia.2018.312
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 312-321
summary	This research presents a novel construction method that links robotic assembly and in place 3D printing. Rather than producing custom joints in a separate prefabrication process, our approach enables creating highly customized connection details that are 3D printed directly onto off-the-shelf building members during their assembly process. Challenging the current fashion of highly predetermined joints in digital construction, detailing in place offers an adaptive fabrication method, enabling the expressive tailoring of connection details addressing its specific architectural conditions. In the present research, the in place detailing strategy is explored through robotic wire arc additive manufacturing (WAAM), a metal 3D printing technique based on MIG welding. The robotic WAAM process coupled with localization and path-planning strategies allows a local control of the detail geometry enabling the fabrication of customized welded connections that can compensate material and construction tolerances. The paper outlines the potential of 3D printing in place details, describes methods and techniques to realize them and shows experimental results that validate the approach.
keywords	work in progress, fabrication & robotics, robotic production, materials/adaptive systems, architectural detailing
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	sigradi2018_1348
id	sigradi2018_1348
authors	Bertuzzi, Juan Pablo; Chiarella, Mauro
year	2018
title	Gamification of Educational Environments through Virtual Reality Platforms
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 975-979
summary	This paper proposes the experimentation of new information and communication technologies through the development of an experimental and interactive virtual reality application, where educational content and game mechanics are incorporated, in order to generate interactivity within a digital 3D space and promote academic exchange in an innovative way. This project aims to the exploration of an open 3D digital environment, where the modeling is inspired by some sector of the physical space of the authors’ university, compatible for the incorporation of smart objects, avatars and a dialogue/activities system that deals with several educational topics.
keywords	Avatar; Gamification; Hybrid worlds; Techno-politics; Virtual reality
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	sigradi2018_1629
id	sigradi2018_1629
authors	Braida, Frederico; Chagas, Icaro; Ruback Cascardo de Almeida, Isabela; Mendes de Castro, Janaina
year	2018
title	The Maker Culture and the Open Source Model in the Architecture, Urbanism and Design Context: The Fabrication and Sharing of a Game for Design Teaching
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1298-1304
summary	This article aims to present a discussion about the maker culture and an experience of fabricating and sharing a set of building blocks designed as a didactic tool for teaching architectural design within the premises of do-it-yourself culture and an open source model. Methodologically, the article is the result of both a bibliographical research and an empirical research, from which, in contemporary times, is evidenced the strengthening of flexible, collaborative, creative and innovative processes, prevailing premises in the maker movement.
keywords	Maker culture; Open source; Teaching; Democratization; Digital culture
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	sigradi2018_1702
id	sigradi2018_1702
authors	Câmara Benevides, Caroline; Ribeiro Roquete, Suellen; Mourão Moura, Ana Clara; Romero Fonseca Motta, Silvio
year	2018
title	Comparative Analysis of Geospatial Visualization Tools for Urban Zoning Planning
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 609-616
summary	The collective management of urban environment is a challenging task. Although considering the individuals and their values helps to build environments that are closer to the user's expectations, the identification of these aspects is not an easy task. Considering the potential of exploring visualization tools to support public participation, this paper compares two different 3D tools based on parametric modeling. Reinforcing the relevancy of both methods in promoting the visualization through the process of regulating the urban landscape resulting from the urban parameters, this paper aims to evaluate their performances concerning time consumed, training requirements, results and applicability.
keywords	3D Modeling; Parametric Modeling; CityEngine; Grashopper3D; Visualization
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_347
id	ecaade2018_347
authors	Dokonal, Wolfgang
year	2018
title	Do Training Bikes Dream of Electric Cities ?
doi	https://doi.org/10.52842/conf.ecaade.2018.2.789
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 789-794
summary	Virtual reality (VR), Augmented Reality (AR) and Mixed Reality is making the headlines in the newspapers and magazines today. But unlike 25 years ago when the first VR rage started with the first Cave Automatic Virtual Environments (CAVE) infrastructures VR is now a technique that is available at very low costs.Especially the recent advances and developments in low cost VR hardware mainly the Head mounted displays (HMD), in particular those that use mobile phones but also the PC based systems like the Oculus Rift and the HTC Vive together with recent software developments allow this change. Naturally this is based on the interest of the Gaming Industry and the big players in the smartphone industry. But at the moment there are nearly no tools for architects available within these systems. In our point of view there is the big potential that these technologies can give new opportunities to architects and designers to use VR and AR as part of their design toolbox and not only as a presentation tool. For us this is the most important aspect. In our projects we therefore try to develop a workflow that can be easily used even without programming and scripting skills.
keywords	Virtual Reality; Interfaces
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2018_1398
id	sigradi2018_1398
authors	Ferreira de Barros Filho, Gilson; de Farias Panet Barros, Amélia
year	2018
title	A gamified perspective in the learning of patrimonial architecture
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1120-1127
summary	The article reports the process of gamification applied to an educational context. This process had the goal to verify the potential of a virtual location, a loft in colonial style, in learning patrimonial architecture. Five stages were carried out: content research for the virtual location’s design; development of the game in Unreal Engine 4.16; application of the game and similar pedagogical content with two groups of students; comparative analysis of the different learning experiences of both groups of students; application of the EGameFlow with students who interacted with the game. The results showed that the tool has great pedagogical potential.
keywords	Gamification; Patrimonial architecture; Learning
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia23_v1_34
id	acadia23_v1_34
authors	Gascon Alvarez, Eduardo; Curth, Alexander (Sandy); Feickert, Kiley; Martinez Schulte, Dinorah; Mueller, Caitlin; Ismail, Mohamed
year	2023
title	Algorithmic Design for Low-Carbon, Low-Cost Housing Construction in Mexico
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 34-38.
summary	Mexico is one of the most urbanized countries in the Global South, and simultaneously faces a rapidly increasing population and a deluge of inadequate housing (URBANET 2019). In 2016, it was estimated that 40 percent of all private residences in Mexico were considered inadequate by UN-Habitat (UN-Habitat 2018). As informal housing constitutes over half of all Mexican housing construction, the most vulnerable groups of the population are particularly impacted. Therefore, there is a serious need to innovate in the area of low-cost building construction for housing in Mexico. This research explores how shape-optimized concrete and earth construction could help provide adequate housing without jeopardizing the country’s commitment to sustainability.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	ecaade2018_312
id	ecaade2018_312
authors	Gündüz, Gamze, Oral, Hülya and Yazar, Tu?rul
year	2018
title	Integration of Design Geometry with "Computational Making" in Basic Design Studio - A Case Study of Lanterns Project
doi	https://doi.org/10.52842/conf.ecaade.2018.2.439
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 439-448
summary	Basic design education, as an introduction of design principles to novice students, has two-way of teaching which are design thinking and professional training, since Bauhaus. Initiated in 2009, the Computation-based Basic Design Studio creates a common ground through discussions between students, academics, and professionals from various backgrounds. In this paper, the implementation of parallel courses named Computation-based Basic Design Studio and Design Geometry is discussed upon final assignment of the first semester- New Year's Lanterns. The given assignment structured as a cyclic process through constant feedback between geometric relations, material performance, and, joinery details to achieve novel outcomes that exceed the preliminarily set structural criteria. In relation to individual processes and outcomes of the final assignment, observed tendencies developed by students', at the end of their first-term in design education, will be discussed as final remarks.
keywords	design education; basic design; design geometry; polyhedra
series	eCAADe
email
last changed	2022/06/07 07:49

_id	caadria2018_162
id	caadria2018_162
authors	Hawton, Dominic, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Shared Immersive Environments for Parametric Model Manipulation - Evaluating a Workflow for Parametric Model Manipulation from Within Immersive Virtual Environments
doi	https://doi.org/10.52842/conf.caadria.2018.1.483
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
summary	Virtual reality (VR) and augmented reality (AR) provide designers with new visual mediums through which to communicate their designs. There is great potential for these mediums to positively augment current visual communication methods by improving remote collaboration. Enabling designers to interact with familiar computational tools through external virtual interfaces would allow them to both calibrate design parameters and visualise parametric outcomes from within the same immersive virtual environment. The current research outlines a workflow for parametric manipulation and mesh replication between immersive applications developed in the Unity game engine and McNeel's Grasshopper plugin. This paper serves as a foundation for future research into integrating design tools with external VR and AR applications in an effort of enhancing remote collaborative designs.
keywords	Augmented Reality; Virtual Reality; Parametric Design; Procedural; Grasshopper
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2018_066
id	caadria2018_066
authors	Hopfenblatt, James and Balakrishnan, Bimal
year	2018
title	The "Nine-Square Grid" Revisited: 9-Cube VR - An Exploratory Virtual Reality Instruction Tool for Foundation Studios
doi	https://doi.org/10.52842/conf.caadria.2018.1.463
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 463-471
summary	While the original Nine Square Grid problem, developed by John Hejduk and other influential educators, has shown many time-tested strengths; the value of the foundation studio project relies strongly on repetition and iteration. This activity oftentimes can be tedious when executed using traditional media. To expand upon the pedagogical goals of the original Nine Square Grid problem,we developed a virtual reality tool titled 'Nine Cube VR.' This tool expands upon the pedagogical goals of the original Nine Square Grid problem. Our tool takes advantage of immersive technology and its capacity to maximize object and spatial presence to aid in teaching beginning design students. Using the Unity game engine for development, zSpace Virtual/Augmented Reality desktop monitor and the HTC Vive head-mounted display, we created a multi-platform, easy-to-use kit-of-parts to educate beginning design students in architecture and interior design foundation design concepts.
keywords	Virtual Reality; Architectural Education; Interaction
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
doi	https://doi.org/10.52842/conf.acadia.2018.156
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 156-165
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	caadria2018_161
id	caadria2018_161
authors	Huang, Xiaoran, White, Marcus and Burry, Mark
year	2018
title	Design Globally, Immerse Locally - A Synthetic Design Approach by Integrating Agent Based Modelling with Virtual Reality
doi	https://doi.org/10.52842/conf.caadria.2018.1.473
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 473-482
summary	The last three decades have witnessed the explosion of technology and its impact on the architecture discipline which has drastically changed the methods of design. New techniques such as Agent-based modeling (ABM) and Virtual Reality (VR) have been widely implemented in architectural and urban design domains, yet the potential integration between these two methods remains arguably unexploited. The investigation in this paper aims to probe the following questions: How can architects and urban designers be informed more comprehensively by melding ABM and VR techniques at the preliminary/conceptual design stage? Which platform is considered more appropriate to facilitate a user-friendly system and reduces the steep learning curve? And what are the potential benefits of this approach in architectural education, particularly for the design studio environment? With those questions, we proposed a prototype in Unity, a multi-platform development tool that originated from the game industry, to simulate and visualize pedestrian behaviors in urban environments with immersive design experience and tested it in a scenario-based case study. This approach has also been further tested in an architectural design studio, demonstrating its technical feasibility as well as the potential contributions to the pedagogy.
keywords	Agent based modelling; Virtual Reality; Urban Design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2018_044
id	caadria2018_044
authors	Inoue, Kazuya, Fukuda, Tomohiro, Cao, Rui and Yabuki, Nobuyoshi
year	2018
title	Tracking Robustness and Green View Index Estimation of Augmented and Diminished Reality for Environmental Design - PhotoAR+DR2017 project
doi	https://doi.org/10.52842/conf.caadria.2018.1.339
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 339-348
summary	To assess an environmental design, augmented and diminished reality (AR/DR) have a potential to build a consensus more smoothly through the landscape simulation of new design visualization of the items to be assessed, such as the green view index. However, the current system is still considered to be impractical because it does not provide complete user experience. Thus, we aim to improve the robustness of the AR/DR system and to integrate the estimation of the green view index into the AR/DR system on a game engine. Further, we achieve an improved stable tracking by eliminating the outliers of the tracking reference points using the random sample consensus (RANSAC) method and by defining the tracking reference points over an extensive area of the AR/DR display. Additionally, two modules were implemented, among which one module is used to solve the occlusion problem while the other is used to estimate the green view index. The novel integrated AR/DR system with all modules was developed on the game engine. A mock design project was developed in an outdoor environment for simulation purposes, thereby verifying the applicability of the developed system.
keywords	Environmental Design; Augmented Reality (AR); Diminished Reality (DR); Green View Index; Segmentation
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2018_126
id	caadria2018_126
authors	Khean, Nariddh, Kim, Lucas, Martinez, Jorge, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	The Introspection of Deep Neural Networks - Towards Illuminating the Black Box - Training Architects Machine Learning via Grasshopper Definitions
doi	https://doi.org/10.52842/conf.caadria.2018.2.237
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 237-246
summary	Machine learning is yet to make a significant impact in the field of architecture and design. However, with the combination of artificial neural networks, a biologically inspired machine learning paradigm, and deep learning, a hierarchical subsystem of machine learning, the predictive capabilities of machine learning processes could prove a valuable tool for designers. Yet, the inherent knowledge gap between the fields of architecture and computer science has meant the complexity of machine learning, and thus its potential value and applications in the design of the built environment remain little understood. To bridge this knowledge gap, this paper describes the development of a learning tool directed at architects and designers to better understand the inner workings of machine learning. Within the parametric modelling environment of Grasshopper, this research develops a framework to express the mathematic and programmatic operations of neural networks in a visual scripting language. This offers a way to segment and parametrise each neural network operation into a basic expression. Unpacking the complexities of machine learning in an intermediary software environment such as Grasshopper intends to foster the broader adoption of artificial intelligence in architecture.
keywords	machine learning; neural network; action research; supervised learning; education
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_315
id	ecaade2018_315
authors	Koehler, Daniel, Abo Saleh, Sheghaf, Li, Hua, Ye, Chuwei, Zhou, Yaonaijia and Navasaityte, Rasa
year	2018
title	Mereologies - Combinatorial Design and the Description of Urban Form.
doi	https://doi.org/10.52842/conf.ecaade.2018.2.085
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 85-94
summary	This paper discusses the ability to apply machine learning to the combinatorial design-assembly at the scale of a building to urban form. Connecting the historical lines of discrete automata in computer science and formal studies in architecture this research contributes to the field of additive material assemblies, aggregative architecture and their possible upscaling to urban design. The following case studies are a preparation to apply deep-learning on the computational descriptions of urban form. Departing from the game Go as a testbed for the development of deep-learning applications, an equivalent platform can be designed for architectural assembly. By this, the form of a building is defined via the overlap between separate building parts. Building on part-relations, this research uses mereology as a term for a set of recursive assembly strategies, integrated into the design aspects of the building parts. The models developed by research by design are formally described and tested under a digital simulation environment. The shown case study shows the process of how to transform geometrical elements to architectural parts based merely on their compositional aspects either in horizontal or three-dimensional arrangements.
keywords	Urban Form; Discrete Automata ; Combinatorics; Part-Relations; Mereology; Aggregative Architecture
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2020_434
id	caadria2020_434
authors	Lange, Christian, Ratoi, Lidia and Co, Dominic Lim
year	2020
title	Reformative Coral Habitats - Rethinking Artificial Reef structures through a robotic 3D clay printing method.
doi	https://doi.org/10.52842/conf.caadria.2020.2.463
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 463-472
summary	In 2018 after Typhoon Mangkhut hit Hong Kong, the city lost around 80% of its existing corals. As a consequence, a team consisting of marine biologists and architects have developed a series of performative structures that will be deployed in Hong Kong waters intending to aid new coral growth over the coming years. This paper describes the present research that focuses on the design and fabrication of artificial reef structures utilizing a robotic 3d clay printing method addressing the specificities of Hong Kong marine ecologies. The paper describes further the algorithmic design methodology, the optimization processes in the generation of the printing path, and the methodology for the fabrication processes during the production cycle to achieve even quality and prevent cracking during the drying process.
keywords	Digital Fabrication; 3D clay printing; Artificial Coral Reefs; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_050
id	caadria2018_050
authors	Lo, Tian Tian and Schnabel, Marc Aurel
year	2018
title	Virtual & Augmented Studio Environment (VASE) - Developing the Virtual Reality Eco-System for Design Studios
doi	https://doi.org/10.52842/conf.caadria.2018.1.443
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 443-452
summary	Virtual Reality (VR) is being revived in major disciplines, including architecture. VR is no longer only employed for basic operations, such as construction of 3D models, dynamic renderings, closed-loop interaction, inside-out perspective and enhance sensory feedback. This paper explains how over the past twenty years technologies and software have evolved that a new eco-system for design processes have risen. This paper discusses how students made full use of both software and equipment in the whole design process; from ideas exploration to site analysis to form generation to design realization. Students have been exposed to a whole range of digital software tools in the beginning. As most of them were already familiar with modelling software, they have in particular been introduced to animation software, game engines and even 3D documentation software such as photogrammetry. Most importantly, they were led to IVE. The paper points out the benefits of adopting such methodology and the difficulties faced by the students at the various stages of the design process.
keywords	Design Studio; Virtual Reality; Software and Equipment; Design Exchange
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2018_213
id	ecaade2018_213
authors	Lohse, Theresa, Fujii, Ryuta and Werner, Liss C.
year	2018
title	Multi-Dimensional Interface Based Spatial Adaption - A Prototype For A Multi-Sensory User Interface Employing Elastic Materials
doi	https://doi.org/10.52842/conf.ecaade.2018.2.169
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 169-176
summary	Patten and Ishii (2000) discovered that people are employing more versatile strategies for spatial distribution when using a tangible user interface (TUI) as opposed to a graphics user interface (GUI) (Patten & Ishii, 2000). Besides, the generated information outputs of conventional two-dimensional interacting screens are currently almost entirely addressing the visual and acoustic senses but lacking in other sensory stimuli - such as haptic, body equilibrium and sense of gravity. With the experiment described here, the multi-dimensionality of both the input on the interface and the output of the human interaction will be challenged. This paper aims to introduce a method to a real world versatile three-dimensional interface actuating a simulated spatial environment that substantiates the more unconventional sensory perception mentioned above. A physical prototype using an Arduino will be assembled to test the feasibility of the structure.
keywords	spatial formation; virtual reality; tangible user interface; body equilibrium; physical computing
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2018_083
id	caadria2018_083
authors	Luo, Dan, Wang, Jinsong and Xu, Weiguo
year	2018
title	Robotic Automatic Generation of Performance Model for Non-Uniform Linear Material via Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2018.1.039
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 39-48
summary	In the following research, a systematic approach is developed to generate an experiment-based performance model that computes and customizes properties of non-uniform linear materials to accommodate the form of designated curve under bending and natural force. In this case, the test subject is an elastomer strip of non-uniform sections. A novel solution is provided to obtain sufficient training data required for deep learning with an automatic material testing mechanism combining robotic arm automation and image recognition. The collected training data are fed into a deep combination of neural networks to generate a material performance model. Unlike most traditional performance models that are only able to simulate the final form from the properties and initial conditions of the given materials, the trained neural network offers a two-way performance model that is also able to compute appropriate material properties of non-uniform materials from target curves. This network achieves complex forms with minimal and effective programmed materials with complicated nonlinear properties and behaving under natural forces.
keywords	Material performance model; Deep Learning; Robotic automation; Material computation; Neural network
series	CAADRIA
email
last changed	2022/06/07 07:59

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