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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_id	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
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
doi	https://doi.org/10.52842/conf.acadia.2018.156
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	ijac201816406
id	ijac201816406
authors	As, Imdat; Siddharth Pal and Prithwish Basu
year	2018
title	Artificial intelligence in architecture: Generating conceptual design via deep learning
source	International Journal of Architectural Computing vol. 16 - no. 4, 306-327
summary	Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph- based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
keywords	Architectural design, conceptual design, deep learning, artificial intelligence, generative design
series	journal
email
last changed	2019/08/07 14:04

_id	ecaade2018_w12
id	ecaade2018_w12
authors	Rahbar, Morteza
year	2018
title	Application of Artificial Intelligence in Architectural Generative Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 71-72
doi	https://doi.org/10.52842/conf.ecaade.2018.1.071
summary	In this workshop, data-driven models will be discussed and how they could change the way architects think, design and analyse. Both supervised and unsupervised learning models will be discussed and different projects will be referred as examples. Deep learning models are the third part of the workshop and more specifically, Generative Adversarial Networks will be mentioned in more detail. The GAN's open a new field of generative models in design which is based on data-driven process and we will go into detail with GANs, their branches and how we could test a sample architecture generative problem with GANs.
keywords	Artificial Intelligence; Machine Learning; Generative Design; Knowledge based Design; GAN
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2018_215
id	ecaade2018_215
authors	Mohite, Ashish, Kochneva, Mariia and Kotnik, Toni
year	2018
title	Material Agency in CAM of Undesignable Textural Effects - The study of correlation between material properties and textural formation engendered by experimentation with G-code of 3D printer
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. 293-300
doi	https://doi.org/10.52842/conf.ecaade.2018.2.293
summary	This paper presents intermediate results of an experimental research directed towards development of a method to use additive manufacturing technology as a generative agent in architectural design process. The primary technique is to variate speed of material deposition of a 3D printer in order to produce undetermined textural effects. These effects demonstrate local variation of material distribution, which is treated as a consequence of interaction between machining parameters and material properties. Current stage of inquiry is concerned with studying material agency by using two different materials as variables in the same experimental setup. The results suggest potential benefits for mass-customized fabrication and deeper understanding of how different materials can be employed in the same manufacturing system to achieve a range of effective behaviors.
keywords	digital fabrication; digital craft
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2023_141
id	sigradi2023_141
authors	Nunes, Ana Julia Thomaz de Frias, Vasconcelos, Guilherme Nunes de and van Stralen, Mateus de Sousa
year	2023
title	National Mapping of Researchers and Artists in Immersive Technologies: A Collaborative Tool for Understanding the Landscape of Scientific and Artistic Production in Brazil
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1525–1534
summary	This paper presents an initial version of the mapping of Brazilian actors in the field of immersive technologies applied to architecture, urbanism, design, and arts. The mapping includes academic and artistic actors who have produced within the researched theme between 2018-2023. Google Scholar and institutional repositories were the main search tools for relevant productions. After gathering the data, validation procedures were conducted. The eligible names were then added to an online table, intended to be collaborative and dynamic The results revealed a total of 45 mapped actors, including eight artists and 38 academics, affiliated with 21 institutions across Brazil. The collaborative online table situates Brazilian immersive technologies production and help to identify affinities between actors, fostering collaborations and research networks. It provides the possibility of visualizing the distribution of these actors nationwide, informing the academic and non-academic communities about the national artistic and scientific productions within the field.
keywords	Virtual Reality, Augmented Reality, Mixed Reality, Mapping, Immersive Technology, Brazilian context
series	SIGraDi
email
last changed	2024/03/08 14:08

_id	caadria2018_000
id	caadria2018_000
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 1
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, 578 p.
doi	https://doi.org/10.52842/conf.caadria.2018.1
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2018_001
id	caadria2018_001
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 2
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, 610 p.
doi	https://doi.org/10.52842/conf.caadria.2018.2
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	ecaade2018_399
id	ecaade2018_399
authors	Cutellic, Pierre
year	2018
title	UCHRON - An Event-Based Generative Design Software Implementing Fast Discriminative Cognitive Responses from Visual ERP BCI
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. 131-138
doi	https://doi.org/10.52842/conf.ecaade.2018.2.131
summary	This research aims at investigating BCI technologies in the broad scope of CAAD applications exploiting early visual cognition in computational design. More precisely, this paper will describe the investigation of key BCI and ML components for the implementation and development of a software supporting this research : Uchron. It will be organised as follows. Firstly, it will introduce the pursued interest and contribution that visual-ERP EEG based BCI application for Generative Design may provide through a synthetic review of precedents and BCI technology. Secondly, selected BCI components will be described and a methodology will be presented to provide an appropriate framework for a CAAD software approach. This section main focus is on the processing component of the BCI. It distinguishes two key aspects of discrimination and generation in its design and proposes a new model based on GAN for modulated adversarial design. Emphasis will be made on the explicit use of inference loops integrating fast human cognitive responses and its individual capitalisation through time in order to reflect towards the generation of design and architectural features.
keywords	Human Computer Interaction; Neurodesign; Generative Design; Design Computing and Cognition; Machine Learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia18_166
id	acadia18_166
authors	Kvochick, Tyler
year	2018
title	Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data
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. 166-175
doi	https://doi.org/10.52842/conf.acadia.2018.166
summary	Currently, it is nearly impossible for an artificial neural network to generalize a task from very few examples. Humans, however, excel at this. For instance, it is not necessary for a designer to see thousands or millions of unique examples of how to place a given drawing symbol in a way that meets the economic, aesthetic, and performative goals of the project. In fact, the goals can be (and usually are) communicated abstractly in natural language. Machine learning (ML) models, however, do need numerous examples. The methods that we explore here are an attempt to circumvent this in order to make ML models more immediately useful. In this work, we present progress on the application of contemporary ML techniques to the design process in the architecture, engineering, and construction (AEC) industry. We introduce a technique to partially circumvent the data hungriness of neural networks, which is a significant impediment to their application outside of the ML research community. We also show results on the applicability of this technique to real-world drawings and present research that addresses how some fundamental attributes of drawings as images affect the way they are interpreted in deep neural networks. Our primary contribution is a technique to train a neural network to segment real-world architectural drawings after using only generated pseudodrawings.
keywords	full paper, representation + perception, computation, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ijac201816304
id	ijac201816304
authors	Miao, Yufan; Reinhard Koenig, Katja Knecht, Kateryna Konieva, Peter Buš and Mei-Chih Chang
year	2018
title	Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town
source	International Journal of Architectural Computing vol. 16 - no. 3, 212-226
summary	This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.
keywords	Procedural modeling, spatial synthesis, generative design, urban planning
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2018_323
id	ecaade2018_323
authors	Newton, David
year	2018
title	Multi-Objective Qualitative Optimization (MOQO) in Architectural Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 187-196
doi	https://doi.org/10.52842/conf.ecaade.2018.1.187
summary	Architectural design problems are often multi-objective in nature, involving both qualitative and quantitative objectives. Previous research has focused exclusively on the development of multi-objective optimization algorithms that work with multiple quantitative objectives. No previous research has looked at the topic of multi-objective qualitative optimization (MOQO), in which multiple qualitative objectives are optimized simultaneously. This research addresses MOQO through the development of a unique multi-objective optimization algorithm for the conceptual design phase that uses three-dimensional convolutional neural networks (3D CNNs) to measure user-defined qualities in architectural massing models.
keywords	multi-objective optimization; generative design; multi-objective qualitative optimization; algorithmic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
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. 773-780
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2022_368
id	ecaade2022_368
authors	Das, Avishek, Brunsgaard, Camilla and Madsen, Claus Brondgaard
year	2022
title	Understanding the AR-VR Based Architectural Design Workflow among Selected Danish Architecture Practices
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 1, Ghent, 13-16 September 2022, pp. 381–388
doi	https://doi.org/10.52842/conf.ecaade.2022.1.381
summary	Virtual reality (VR) and augmented reality (AR) have been proposed to be additional architectural design mediums for at least 25 years (Dagit, 1993). Despite rapid technical and technological development, it has not been adopted into architectural design practices as compared to academia and research. Surveys from the American Institute of Architects (AIA) and Royal Institutes of British Architects (RIBA) demonstrate the state of architectural practices; 72% of architects and 65% of architects respectively are not using any kind of virtual, augmented, or mixed reality in their practices(RIBA and Microsoft, 2018; Hampson, 2020). In this paper, the authors investigate the state of practices, issues, challenges, and opportunities of the utilization of virtual, augmented, and mixed realities in six architectural practices in the Danish context. Three of the practices are large architectural practices, one medium-sized practice specializing in institutional, healthcare and cultural architecture, and one firm designing private family houses, kindergartens, daycares and places for people with disability and, one experimental design studio. All these practices have used VR/AR in their projects to various degrees. In recent years Danish architectural practices have been involved in various VR/AR-based exhibitions, demonstrations, and tool developments to promote the usage of the same in design practice. Through a set of qualitative interviews with personnel from key architectural practices, the authors would like to demonstrate the present state of practices. The investigation explores the usage of VR and AR in Danish architecture practices by identifying challenges and opportunities regarding skill levels, architectural typology, use cases, toolchains, and workflow and shows similarities and differences between traditional and VR-based design processes. The main findings show how VR/AR-based visualization helps architects to perceive spatiality and also ushers creativity through immersion and overlays.
keywords	Virtual Reality, Augmented Reality, Architectural Design Practice, Denmark
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2018_1492
id	sigradi2018_1492
authors	de Oliveira Junior, Jair Antonio; Hunold Lara, Arthur; Moretti Meirelles, Célia Regina
year	2018
title	A Shelter in extreme environments: Prototyping of the riverine house in the Amazon
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. 661-667
summary	This article aims to contribute to the debate in the production of lightweight architectural structures, focusing on the dwelling, as well as design processes in extreme areas, resulting in the understanding of their formation processes. The report of the process of prototyping and BIM modeling of a floating riverfront housing, Solimões floodplain area, the city of Manacapuru, Amazonas in Brazil. In the context of the shelter, vernacular, what would be the most appropriate design processes for the complexity of social and environmental parameters, traditional technological resources in counterpart to the processes of the Digital Age, as a hybrid process, proposing mediation between traditional and scientific knowledge.
keywords	Environment; BIM; Prototyping; Housing; Amazon
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2022_398
id	ecaade2022_398
authors	Dzurilla, Dalibor and Achten, Henri
year	2022
title	What’s Happening to Architectural Sketching? - Interviewing architects about transformation from traditional to digital architectural sketching as a communicational tool with clients
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 1, Ghent, 13-16 September 2022, pp. 389–398
doi	https://doi.org/10.52842/conf.ecaade.2022.1.389
summary	The paper discusses 23 interviewed architects in practice about the role of traditional and digital sketching (human-computer interaction) in communication with the client. They were selected from 1995 to 2018 (the interval of graduation) from three different countries: the Czech Republic (CR), Slovakia (SR), Netherland (NR). To realize three blending areas that impact the approach to sketching: (I) Traditional hand and physical model studies (1995-2003). (II)Transition form - designing by hand and PC (2004–2017). (III) Mainly digital and remote forms of designing (2018–now). Interviews helped transform 31 “parameters of tools use” from the previous theoretical framework narrowed down into six main areas: (1) Implementation; (2)Affordability; (3)Timesaving; (4) Drawing support; (5) Representativeness; (6) Transportability. Paper discusses findings from interviewees: (A) Implementation issues are above time and price. (B) Strongly different understanding of what digital sketching is. From drawing in Google Slides by mouse to sketching in Metaverse. (C) Substantial reduction of traditional sketching (down to a total of 3% of the time) at the expense of growing responsibilities. (D) 80% of respondents do not recommend sketching in front of the client. Also, other interesting findings are further described in the discussion.
keywords	Architectural Sketch, Digital Sketch, Effective Visual Communication
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia18_98
id	acadia18_98
authors	Fox, Michael; Schulitz, Marc; Gershfeld, Mikhail; Cohen, Marc
year	2018
title	Full Integration: Closing the Gap on Technology Readiness
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. 98-107
doi	https://doi.org/10.52842/conf.acadia.2018.098
summary	This paper discusses the authors’ experiences and lessons learned through designing and constructing small- and large-scale robotic prototypes and the fully integrated use of VR and AR for design. Also of focus here are the methodological tools utilized to implement this student-led research in an interdisciplinary educational environment, as well as the design explorations of Mars habitation systems. Through the systems engineering approach, students will generate ideas that may or may not make it to the final design development stage, but may potentially be valuable to future real exploration habitats and mission architectures. The final prototype allows an assessment of the focus parameters, which are the vessels’ transformation capacities and layout adaption. The design objective of this project is to examine strategies for commonality between an interplanetary vehicle (IPV) and a Mars surface habitat. The presented design proposals address this challenge to create a common habitation system in both habitats so that crew members will be familiar with the layout, function, and location throughout the expedition. The design tools operate at the intersection of architectural layout design, mechanics, and structural design, and use origami folding techniques and structural form-finding concepts to generate shell action rigidity. In addition, the project develops a strategy for mobility and transformation of the surface habitat prior to its transformed configuration. The value here lies in understanding lessons from this strategy for both the design process as well as efficiency and optimization in design as a model for terrestrial design.
keywords	full paper, bim, flexible structures, performance + simulation, representation + perception, building technologies, vr/ar/mr
series	ACADIA
type	paper
email
last changed	2022/06/07 07:50

_id	acadia18_126
id	acadia18_126
authors	Johns, Ryan Luke; Anderson, Jeffrey
year	2018
title	Interfaces for Adaptive Assembly
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. 126-135
doi	https://doi.org/10.52842/conf.acadia.2018.126
summary	While robotic tools have greatly expanded the scope of computational control and design freedom in architectural assembly, the vast majority of projects involving robotic customization depend on standardized, mass produced components. By relinquishing some design agency to automated systems which respond to on-site material variations, it is possible to produce methods of construction which rely on locally-sourced components with low embodied energy. Such adaptive automation can provide resource efficiency and the aesthetic advantages of natural or reclaimed materials, but can also beget technical challenges of increasing complexity. By expanding design goals to incorporate intuitive collaborative interfaces, technical gaps can be understood even by non-experts, and leveraged towards new forms of creative expression. This paper presents the results of an interactive installation in which visitors can provide any variety of objects to a collaborative robotic manipulator (UR5) which recognizes part geometry and attempts to construct a dry-stacked wall from the material offerings. A visual and auditory interface provides suggestions and error messages to participants to facilitate an understanding of the acceptable material morphologies which can be used within the constraints of the system.
keywords	full paper, materials & adaptive systems, non-production robotics, digital materials, representation + perception
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2018_103
id	ecaade2018_103
authors	Kepczynska-Walczak, Anetta
year	2018
title	Building Information Modelling for 2020+ Realm - Contemporary practice and future perspectives
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 271-280
doi	https://doi.org/10.52842/conf.ecaade.2018.1.271
summary	The paper discusses the future possible trajectories of information technologies applied to Architecture, Engineering and Construction (AEC) domain. Specifically, it focuses on Building Information Modelling (BIM) being a key subject in the context of understanding the challenge of computing for a better tomorrow. In this respect it presents Polish situation as one of the European Union countries aiming at implementing BIM on the national level. What is more, it reveals findings derived from experience of teaching BIM and from questionnaires prepared for BIM learners. A comparative study of two types of representatives, viz. architecture students and experienced professionals, both acquiring BIM skills, has been conducted. The results show different approach and key obstacles associated with teaching, learning and comprehending BIM. Furthermore, on the one hand the study reveals discrepancy between research, academic experiments and everyday practice. On the other hand it emphasises specific characteristics of this domain enhanced with dynamic pace of change in technology, leading to conclusions that BIM should be placed on lifelong learning trajectory. Despite numerous obstacles the adoption of BIM is facing it concludes that it has arguments and potential to become 2020+ realm.
keywords	Building Information Modelling; BIM; Lifelong Learning; architectural practice
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ijac201816404
id	ijac201816404
authors	Kousoulas, Stavros
year	2018
title	Shattering the black box: Technicities of architectural manipulation
source	International Journal of Architectural Computing vol. 16 - no. 4, 295-305
summary	This article attempts to reverse a fallacy often met in architectural theories and practices: that of a supposed input which through processes of what one can broadly call translations generates a built output. The input–output fallacy produces an architectural black box that treats both architectural thinking and doing as a mere process of projecting, representing and annotating ‘properly’ what will later be executed. On the contrary, a manipulative account of architecture as an active process of ecological engineering will pave the way for not only reversing the fallacy but also towards a particular understanding of architectural practices: architectural technicities and their reticular, affective potentials. Drawing on the theories of Gilbert Simondon, André Leroi-Gourhan, Gilles Deleuze and Felix Guattari, I will examine how architecture can be genealogically approached as a reticular technicity which evolves by a reciprocal concretisation of its technical objects and a generalisation of its active practitioners: no longer the application of transcendental design rules, of symbolic deductions or statistical inductions but rather abductive heuristics of affective techniques; no input nor output but practices of sensorial amplification via material manipulation and vice versa.
keywords	Abduction, concretisation, Leroi-Gourhan, Simondon, technicity
series	journal
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last changed	2019/08/07 14:04

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