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	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
doi	https://doi.org/10.52842/conf.acadia.2017.102
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	acadia17_128
id	acadia17_128
authors	Bacharidou, Maroula
year	2017
title	Touch, See, Make: Employing Active Touch in Computational Making
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 128-137
doi	https://doi.org/10.52842/conf.acadia.2017.128
summary	In architectural education and practice, we don’t come in physical contact with what we make until the later stages of the design process. This vision-oriented approach to design is something deeply rooted in architectural practice: from Alberti’s window to the screens of our computers, design has traditionally been more of a visual and less of a hands-on process. The vision of the presented study is that if we want to understand the way we make in order to improve tools for computational design and making, we need to understand how our ability to make things is enhanced by both our visual and tactile mechanisms. Bringing the notion of active touch from psychology into the design studio, I design and execute a series of experiments investigating how seeing, touching, or seeing and touching exhibit different sensory competencies, and how these competencies are expressed through the process of making. The subjects of the experiment are asked to tactilely, visually, or tactilely and visually observe a three-dimensional object, create descriptions of its composition, and to remake it based on their experience of it using plastic materials. After the execution of the experiment, I analyze twenty-one reproductions of the original object; I point to ways in which touch can detect scale and proportions more accurately than vision, while vision can detect spatial components more efficiently than touch; I then propose ways in which this series of experiments can lead to the creation of new design and making tools.
keywords	education society & culture; computational / artistic culture;s hybrid practices; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ecaade2017_234
id	ecaade2017_234
authors	Benetti, Alberto, Favargiotti, Sara and Ricci, Mos?
year	2017
title	RE.S.U.ME. - REsilient and Smart Urban MEtabolism
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 1113-1120
doi	https://doi.org/10.52842/conf.ecaade.2017.1.1113
summary	New technologies and uncontrolled open-data policies lead public to a new way of approaching the built environment. To enlarge the competences of the professionals that work within the cities, we believe that providing a deep and dynamic knowledge on the heritage and urban built environment is the more effective solution to offer a unique support to the needs. By providing a boosted geographical database with detailed information about the status of each building, we aim to support the professional by providing a neat vision about vacant buildings available citywide. We think this knowledge is an important asset in covering every kind of public requests: from flat to rent to an abandoned building to restore or to drive better investors. The city of Trento will be the pilot project to test these statements.We studied the phenomenon of pushing new constructions rather investing on the reuse of abandoned buildings with the consequences of unsustainable land use. To address the work we adopted a comprehensive approach across the fields of urbanism, ICT engineering and social sciences. We believe that sharing knowledge and know-hows with municipalities, agencies, and citizens is the way to support better market strategies as well as urban transformation policies.
keywords	Information Technology; Urban Metabolism; Re-cycle; Urban Reserves; Policy Decision-Making; Data-driven Analysis
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia17_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 154-163
doi	https://doi.org/10.52842/conf.acadia.2017.154
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	caadria2017_043
id	caadria2017_043
authors	Coorey, Anycie, Haeusler, M. Hank and Coorey, Ben
year	2017
title	Predictive Urban Analytics - Exploring Choice Modelling and Revealed Preferences for Urban Design
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 209-218
doi	https://doi.org/10.52842/conf.caadria.2017.209
summary	Since the rise of generative design, a morphogenetic process of designing has emerged where algorithms are used to explore potential permutations of a solution to find the best design option. Yet, on a subjective level, identifying what option is considered best has often proven to be difficult. Hence, the paper discusses a foundation research to investigate prototypically subjective judgments concern matters of value and preference defined by end users in generative modelled urban design outcome. To do so the paper will introduce and outline research findings in the field of Micro-Economics, in particular its subcategories 'Choice Modelling' as a method and 'Revealed Preferences' as a methodology to assess whether user preferences can be identified and engaged as 'preferred' design options. In the paper the research will outline in greater depth the theories behind Choice Modelling and Revealed Preferences, a field that studies the behaviour of individuals, and its relevance for urban design, in particular Computational Urbanism. The paper discusses how Choice Modelling can analyse design outcomes and conclude and speculate about its use in an applied context.
keywords	Generative design; Aesthetic judgment; Choice modelling; revealed preference; design evaluation.
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2017_042
id	caadria2017_042
authors	Coorey, Ben and Coorey, Anycie
year	2017
title	Generating Urban Form
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 261-269
doi	https://doi.org/10.52842/conf.caadria.2017.261
summary	Modern design of urban forms is venturing towards performative, site-specific architecture that are formed according to the attributes of its urban context. Parametric modelling techniques offer designers the ability to embed generative mechanisms into the design process to allow performance based design. This paper focuses on the development of a synthesis model that generates an Urban Form schema using computational design principles. The design system illustrates a rule-based systematic approach to urban form generation and is a precursor to the automatic exploration of urban forms based on design analytics and evaluation of urban metrics. The role of the architect begins to shift from the designer of objects to the designer of processes with urban planning following a trajectory of data-generated and contextual specific design.
keywords	Parametric Modelling; Urban Modelling; Scripting; Urban Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia17_238
id	acadia17_238
authors	El-Zanfaly, Dina
year	2017
title	A Multisensory Computational Model for Human-Machine Making and Learning
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 238-247
doi	https://doi.org/10.52842/conf.acadia.2017.238
summary	Despite the advancement of digital design and fabrication technologies, design practices still follow Alberti’s hylomorphic model of separating the design phase from the construction phase. This separation hinders creativity and flexibility in reacting to surprises that may arise during the construction phase. These surprises often come as a result of a mismatch between the sophistication allowed by the digital technologies and the designer’s experience using them. These technologies and expertise depend on one human sense, vision, ignoring other senses that could be shaped and used in design and learning. Moreover, pedagogical approaches in the design studio have not yet fully integrated digital technologies as design companions; rather, they have been used primarily as tools for representation and materialization. This research introduces a multisensory computational model for human-machine making and learning. The model is based on a recursive process of embodied, situated, multisensory interaction between the learner, the machines and the thing-in-the-making. This approach depends heavily on computational making, abstracting, and describing the making process. To demonstrate its effectiveness, I present a case study from a course I taught at MIT in which students built full-scale, lightweight structures with embedded electronics. This model creates a loop between design and construction that develops students’ sensory experience and spatial reasoning skills while at the same time enabling them to use digital technologies as design companions. The paper shows that making can be used to teach design while enabling the students to make judgments on their own and to improvise.
keywords	education, society & culture; fabrication
series	ACADIA
email
last changed	2022/06/07 07:55

_id	caadria2017_062
id	caadria2017_062
authors	Ji, Seung Yeul, Kim, Mi Kyoung and Jun, Han Jong
year	2017
title	Campus Space Management Using a Mobile BIM-based Augmented Reality System
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 105-114
doi	https://doi.org/10.52842/conf.caadria.2017.105
summary	In South Korea, the changing paradigm of family composition toward single-person households and nuclear families has caused the decrease in number of students, which has led to the need for change in the qualitative, rather than quantitative, management of spaces and facilities on university campuses. In particular, since 2005, the merging of universities have accelerated, which has brought up the need for a system that facilitates the management of integrated university systems. Accordingly, universities now require efficient system operation based on three-dimensional and data visualization, unlike the document-based management of facilities and spaces in the past. Users lack a sense of responsibility for public facilities, causing difficulties such as energy waste and frequent movement, as well as damage and theft of goods. This study aims to form an AR-based interface using the ANPR algorithm, a computer vision technique, and the position-based data of the GPS. It also aims to build a campus space management system to overcome the limitations of current systems and to effectively and systematically manage integrated building data. In addition, for module test verification, the prototype is applied to actual campus spaces, and additional demands for campus space management in the AR application are identified and organized.
keywords	augmented reality; Campus space management; BIM; CAFM (computer-aided facilities management); user experience (UX)
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	cf2017_111
id	cf2017_111
authors	Kepczynska-Walczak, Anetta; Pietrzak, Anna
year	2017
title	An Experimental Methodology for Urban Morphology Analysis
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 111.
summary	The paper presents results of a research conducted in 2015 and 2016 at Lodz University of Technology. It proposes a purpose and context fit approach towards the automation of urban data generation based on GIS tools and New Urbanism typologies. First, background studies of methods applied in urban morphology analysis are revealed. Form-Based Code planning, and subsequently Transect-Based Code are taken into account. Then, selected examples from literature are described and discussed. Finally, the research study is presented and the outcomes compared with more traditional methodology.
keywords	GIS, Urban morphology, Spatial analysis, Decision support systems, Urban design, Data analytics, Modelling and simulation
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	sigradi2017_099
id	sigradi2017_099
authors	Panagoulia, Eleanna
year	2017
title	Human – Centered Approaches in Urban Analytics and Placemaking
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.692-698
summary	Planning for resilience and enabling positive design outcomes requires combinatory methods of working with data, in order to assist decision-makers develop evidence-based methodologies and easily communicated scenarios. The staggering rise of technology integration and data-aided analysis tools in urban planning, not only facilitates our understanding of socio-economic flux, but attempts to actively involve users as a way of creating environments that are more responsive and appropriate to their needs. This paper aims to contribute to the discourse on user involvement in design-oriented fields, in our case, urban planning, by analyzing two different approaches of participatory design.
keywords	User-Centric Design; Open-Data; Participation; Evaluation; ‘Reblock’
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
doi	https://doi.org/10.52842/conf.acadia.2017.474
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	acadia17_482
id	acadia17_482
authors	Penman, Scott
year	2017
title	Toward Computational Play
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 482- 491
doi	https://doi.org/10.52842/conf.acadia.2017.482
summary	The day is not far off when autonomous, artificially intelligent agents will be employed in creative industries such as architecture and design. Artificial intelligence is rapidly becoming ubiquitous, and it has absorbed many capabilities once thought beyond its reach. As such, it is critical that we reflect on the relationship between AI and design. Design is often tasked with pushing the envelope in the quest for novel meaning and experience. Designers can’t always rely upon existing models to judge their work. Operating like this requires a curious and open mind, a willingness to eschew reward and occasionally break the rules, and a desire to explore for the sake of exploring. These behaviors fly in the face of traditional implementations of computation and raise difficult questions about the autonomy and subjectivity of artificially intelligent machines. This paper proposes computational play as a field of research that covers how and why designers roam as freely as they do, what the creative potential of such exploration might be, and how such techniques might responsibly be implemented in computational machines. The work argues that autotelism, defined as internal motivation, is an essential aspect of play and outlines how it can be incorporated in a computational framework. The work also demonstrates a proof-of-concept in the form of an autonomous drawing machine that is able to plot a drawing, view the drawing, and make decisions based on what it sees, bringing computational vision and computational drawing together into a cyclical process that permits the use of autotelic play behavior.
keywords	design methods; information processing; art and technology; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 08:00

_id	cf2017_682
id	cf2017_682
authors	Rocha, Joao
year	2017
title	Design and Architecture for the Dawn of the Personal Computer: The Pioneer Vision of Adriano Olivetti
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 682-701.
summary	In 1952 the Italian Olivetti Company opened a study laboratory on electronic calculators in New Canaan, USA; in 1955 it created an electronic research laboratory in Pisa and two years later, co-founded a company to produce electronic conductors. In 1959 it presented ELEA 9003 and in 1965 the P101, respectively the first full transistorized computer and the first desktop computer. This paper aims to investigate how the Olivetti Company accomplished in such a brief period of time a pioneer vision in the field of computing. By one hand it seeks to highlight the forerunner idea of Adriano Olivetti (1901-1960) for an integrated awareness of what computing could become and on the other hand, how that wakefulness fostered an innovative agenda among architects, designers, filmmakers and scientists for the invention of the computer as an artifact expression of an epoch. This successful endeavor anticipated what would become the concept of personal computing. Moreover the paper underlines how the early commercial development of Olivetti and IBM computing flourished in the context of the Universal Exhibitions of Brussels and New York.
keywords	Olivetti, Computing, Architecture, Mario Tchou, Ettore Sottsass, IBM
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_202
id	ecaade2017_202
authors	Sollazzo, Aldo, Trento, Armando and Baseta, Efilena
year	2017
title	Machinic Agency - Implementing aerial robotics and machine learning to map public space
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 611-618
doi	https://doi.org/10.52842/conf.ecaade.2017.2.611
summary	The research presented in this paper is focused on proposing a new digital workflow, involving unmanned aerial vehicles (UAV) and machines learning systems, in order to detect and map citizen's behaviors in the context of public spaces.Novel machinic abilities can be implemented in the understanding of the human context, decoding, through computer visions and machine learning, complex systems into intelligible outputs (Olson, 2008), mapping the relationships of our reality. In this framework, robotic and computational strategies can be implemented in order to offer a new description of public spaces, bringing to light the hidden forces and multiple layers constituting the urban habitat. The presented study focuses on the development of a methodology turning video frames collected from cameras installed on drones into large datasets used to train convolutional networks and enable machines learning systems to detect and map pedestrians in public spaces.
keywords	mapping; drones; machine learning; computer vision; city
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_18
id	acadia17_18
authors	Abdel-Rahman, Amira; Michalatos, Panagiotis
year	2017
title	Magnetic Morphing
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 18-27
doi	https://doi.org/10.52842/conf.acadia.2017.018
summary	In an attempt to design shape-morphing multifunctional objects, this thesis uses programmable matter to design self-organizing multi-agent systems capable of morphing from one shape into another. The research looks at various precedents of self-assembly and modular robotics to design and prototype passive agents that could be cheaply mass-produced. Intelligence will be embedded into these agents on a material level, designing different local interactions to perform different global goals. The initial exploratory study looks at various examples from nature like plankton and molecules. Magnetic actuation is chosen as the external actuation force between agents. The research uses simultaneous digital and physical investigations to understand and design the interactions between agents. The project offers a systemic investigation of the effect of shape, interparticle forces, and surface friction on the packing and reconfiguration of granular systems. The ability to change the system state from a gaseous, liquid, then solid state offers new possibilities in the field of material computation, where one can design a "material" and change its properties on demand.
keywords	material and construction; construction/robotics; smart materials; smart assembly/construction; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_054
id	ecaade2017_054
authors	Abramovic, Vasilija, Glynn, Ruairi and Achten, Henri
year	2017
title	ROAMNITURE - Multi-Stable Soft Robotic Structures
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 327-336
doi	https://doi.org/10.52842/conf.ecaade.2017.1.327
summary	The rise in robotics is not only changing fabrication research in architecture but increasingly providing opportunities for animating the materiality of architecture, offering responsive, performative and adaptive design possibilities for the built environment. A fundamental challenge with robotics is its suitability to safe, and comfortable use in proximity to the human body. Here we present the preliminary results of the Roamniture Project, a hybrid approach to developing kinetic architecture based on a combination of rigid and soft body dynamics.
keywords	Kinetic Architecture; Soft Robotics; Soft Architecture; Furniture
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 530-537.
doi	https://doi.org/10.52842/conf.acadia.2021.530
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	caadria2017_147
id	caadria2017_147
authors	Agirachman, Fauzan Alfi, Ozawa, Yo, Indraprastha, Aswin, Shinozaki, Michihiko, Sitompul, Irene Debora Meilisa, Nuraeni, Ruri, Chirstanti, Augustine Nathania, Putra, Andrew Cokro and Zefanya, Teresa
year	2017
title	Reimagining Braga - Remodeling Bandung's Historical Colonial Streetscape in Virtual Reality
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 23-32
doi	https://doi.org/10.52842/conf.caadria.2017.023
summary	This paper presents the experience of the first phase of remodeling existing historical and colonial district in Bandung, Indonesia, including existing building façade, streetscape and street furniture. Braga Street is chosen as study case because it is a well-known historical street in Bandung with art deco style buildings constructed during Dutch colonial era. By remodeling it, it could help stakeholders to evaluate existing Braga street condition, to test any modification of buildings along the street and to determine specific regulation for the street. In this case, we use Unity3D and Oculus Rift DK2 for remodeling current situation. We gathered feedback from respondents using a questionnaire given after they experienced the model in VR. Many lessons learned from modeling process and respondents' feedback: higher frame rate to make seamless VR experience by having all components on a low poly model and provide smoother movement to prevent visual discomfort. This paper's conclusion gives suggestions for anyone who want to start architecture modeling in virtual reality for the very first time and how to optimize it.
keywords	Virtual reality; historical building; digital reconstruction; streetscape
series	CAADRIA
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last changed	2022/06/07 07:54

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