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	lasg_whitepapers_2019_157
id	lasg_whitepapers_2019_157
authors	Kretzer, Manuel
year	2019
title	Tomorrowland
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.157 - 172
summary	This essay is a transcript of a series of lectures I presented entitled ‘Tomorrowland’ and is partially based on material which has been previously published in ‘Information Materials – Smart Materials for Adaptive Architecture, Manuel Kretzer. Bern: Springer International Publishing, 2017’ as well as an unpublished paper co-written with Adil Bokhari on our common design studio ‘Synthetic Ecologies.’
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	ijac201917102
id	ijac201917102
authors	Cutellic, Pierre
year	2019
title	Towards encoding shape features with visual event-related potential based brain–computer interface for generative design
source	International Journal of Architectural Computing vol. 17 - no. 1, 88-102
summary	This article will focus on abstracting and generalising a well-studied paradigm in visual, event-related potential based brain–computer interfaces, for the spelling of characters forming words, into the visually encoded discrimination of shape features forming design aggregates. After identifying typical technologies in neuroscience and neuropsychology of high interest for integrating fast cognitive responses into generative design and proposing the machine learning model of an ensemble of linear classifiers in order to tackle the challenging features that electroencephalography data carry, it will present experiments in encoding shape features for generative models by a mechanism of visual context updating and the computational implementation of vision as inverse graphics, to suggest that discriminative neural phenomena of event-related potentials such as P300 may be used in a visual articulation strategy for modelling in generative design.
keywords	Generative design, machine learning, brain–computer interface, design computing and cognition, integrated cognition, neurodesign, shape, form and geometry, design concepts and strategies
series	journal
email
last changed	2019/08/07 14:04

_id	ijac202018403
id	ijac202018403
authors	Dagmar Reinhardt, Matthias Hank Haeusler, Kerry London, Lian Loke, Yingbin Feng, Eduardo De Oliveira Barata, Charlotte Firth, Kate Dunn, Nariddh Khean, Alessandra Fabbri, Dylan Wozniak-O’Connor and Rin Masuda
year	2020
title	CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts
source	International Journal of Architectural Computing vol. 18 - no. 4, 353–370
summary	Human-robot interactions can offer alternatives and new pathways for construction industries, industrial growth and skilled labour, particularly in a context of industry 4.0. This research investigates the potential of collaborative robots (CoBots) for the construction industry and subject matter experts; by surveying industry requirements and assessments of CoBot acceptance; by investing processes and sequences of work protocols for standard architecture robots; and by exploring motion capture and tracking systems for a collaborative framework between human and robot co-workers. The research investigates CoBots as a labour and collaborative resource for construction processes that require precision, adaptability and variability.Thus, this paper reports on a joint industry, government and academic research investigation in an Australian construction context. In section 1, we introduce background data to architecture robotics in the context of construction industries and reports on three sections. Section 2 reports on current industry applications and survey results from industry and trade feedback for the adoption of robots specifically to task complexity, perceived safety, and risk awareness. Section 3, as a result of research conducted in Section 2, introduces a pilot study for carpentry task sequences with capture of computable actions. Section 4 provides a discussion of results and preliminary findings. Section 5 concludes with an outlook on how the capture of computable actions provide the foundation to future research for capturing motion and machine learning.
keywords	Industry 4.0, collaborative robotics, on-site robotic fabrication, industry research, machine learning
series	journal
email
last changed	2021/06/03 23:29

_id	acadia16_116
id	acadia16_116
authors	Davis, Daniel
year	2016
title	Evaluating Buildings with Computation and Machine Learning
doi	https://doi.org/10.52842/conf.acadia.2016.116
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 116-123
summary	Although computers have significantly impacted the way we design buildings, they have yet to meaningfully impact the way we evaluate buildings. In this paper we detail two case studies where computation and machine learning were used to analyze data produced by building inhabitants. We find that a building’s ‘data exhaust’ provides a rich source of information for longitudinally analyzing people’s architectural preferences. We argue that computation-driven evaluation could supplement traditional post occupancy evaluations.
keywords	spatial analytics, machine learning, post occupancy evaluation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	ecaade2023_99
id	ecaade2023_99
authors	Dervishaj, Arlind, Fonsati, Arianna, Hernández Vargas, José and Gudmundsson, Kjartan
year	2023
title	Modelling Precast Concrete for a Circular Economy in the Built Environment
doi	https://doi.org/10.52842/conf.ecaade.2023.2.177
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. 177–186
summary	In recent years, there has been a growing interest in adopting circular approaches in the built environment, specifically reusing existing buildings or their components in new projects. To achieve this, drawings, laser scanning, photogrammetry and other techniques are used to capture data on buildings and their materials. Although previous studies have explored scan-to-BIM workflows, automation of 2D drawings to 3D models, and machine learning for identifying building components and materials, a significant gap remains in refining this data into the right level of information required for digital twins, to share information and for digital collaboration in designing for reuse. To address this gap, this paper proposes digital guidelines for reusing precast concrete based on the level of information need (LOIN) standard EN 17412-1:2020 and examines several CAD and BIM modelling strategies. These guidelines can be used to prepare digital templates that become digital twins of existing elements, develop information requirements for use cases, and facilitate data integration and sharing for a circular built environment.
keywords	building information modelling (BIM), circular construction, reuse, concrete
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2017_149
id	caadria2017_149
authors	Dickey, Rachel
year	2017
title	Soft Systems - Rethinking Indeterminacy in Architecture as Opportunity Driven Research
doi	https://doi.org/10.52842/conf.caadria.2017.811
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. 811-820
summary	The research projects in this paper examine the notion of soft systems relative to machine induced material consequences. It asks, how might we integrate processes and methods which leave tolerances for indeterminacy and flexibility into design and construction? The two projects outlined investigate change of state materials paired with automation strategies, focusing on additive processes with thermally induced material configurations and programmable matter with magnetically controlled formations.
keywords	robotics; 3d printing; digital fabrication; automation; indeterminacy
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2021_312
id	sigradi2021_312
authors	Dickinson, Susannah and Ida, Aletheia
year	2021
title	Dynamic Interscalar Methods for Adaptive Design Futures
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 41–53
summary	This paper addresses our current environmental and political climate directly, disseminating work from a research-based, upper-level architecture studio located at the border of Mexico and the United States. Dynamic digital tools and methods were developed to connect multiple scales of spatialized data. Additional field tools, including electromagnetic field (EMF) meters, environmental sensors, and micro-photography, enabled real-time dynamics to be combined with photogrammetry, satellite and GIS data. The selected outcomes utilize the methodological framework in different ways. Three presiding significant outcomes demonstrated from this work include: 1) micro-macro scale inquiry through spatio-temporal data collection and fieldwork; 2) parametric digital tools for emergent design optimization linking natural and artificial systems; and 3) human-machine-nature interactions for cultural awareness, participation, and activism. Collectively, these three functions of the methodology shift practice towards an alter-disciplinary logic to enable adaptive design outcomes that are responsive to a range of issues presented through site-specific climate change dynamics.
keywords	Parametric Generative Design, Sustainable Design, Simulation, Bio-Inspired Design, Digital Pedagogy
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	a7b7
authors	Lopuck, Lisa
year	1996
title	Designing Multimedia A Visual Guide to Multimedia and Online Graphic Design
source	Berkeley, California, Peachpit Press
summary	A lavishly illustrated volume is primarily devoted to full-color photos of multimedia screen shots and artwork, offering explanations of title structure, user interface, and software dynamics.
series	other
last changed	2003/04/23 15:14

_id	archidna_thesis
id	archidna_thesis
authors	Doo Young Kwon
year	2003
title	ARCHIDNA: A GENREATIVE SYSTEM FOR SHAPE CONFIGURATONS
source	University of Washington, Design Machine Group
summary	his thesis concerns a new generation process for shape configurations using a set of operations. The approach derives from analyzing a particular design style and programming them into a computer. It discusses how generative CAD software can be developed that embodies a style and how this software can serve in the architectural design process as a computational design tool. The thesis proposes a prototype software system, ArchiDNA, to demonstrate the use of operations to generate drawings in a specific design style. ArchiDNA employs a set of operations to produce design drawings of shape configuration in Peter Eisenman's style for the Biocentrum building plan in Frankfurt, Germany. The principles of form generation are defined as a set of operations. ArchiDNA generates 2D and 3D drawings similar to Eisenmans plan and model for the Biocentrum building. The extension system of ArchiDNA, called ArchiDNA++, supports designers in defining operations and generating shape configurations. Designers can enter and edit their own shapes for the generation process and also control the parameters and attributes for shape operations. Thus, designers can manage the generation process and explore using ArchiDNA++, to generate shape configurations that are consistent with their own drawing style.
series	thesis:MSc
type	normal paper
email
last changed	2004/06/02 19:40

_id	ecaade2023_145
id	ecaade2023_145
authors	Dortheimer, Jonathan, Schubert, Gerhard, Dalach, Agata, Brenner, Lielle Joy and Martelaro, Nikolas
year	2023
title	Think AI-side the Box! Exploring the Usability of text-to-image generators for architecture students
doi	https://doi.org/10.52842/conf.ecaade.2023.2.567
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. 567–576
summary	This study examines how architecture students use generative AI image generating models for architectural design. A workshop was conducted with 25 participants to create designs using three state-of-the-art generative diffusion models and BIM or 3D modeling software. Results showed that the participants found the image-generating models useful for the preliminary design stages but had difficulty when the design advanced because the models did not perform as they expected. Finally, the study shows areas for improvement that merit further research. The paper provides empirical evidence on how generative diffusion models are used in an architectural context and contributes to the field of digital design.
keywords	Machine Learning, Diffusion Models, Design Process, Computational Creativity
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_48
id	ecaade2023_48
authors	Doumpioti, Christina and Huang, Jeffrey
year	2023
title	Text to Image to Data
doi	https://doi.org/10.52842/conf.ecaade.2023.2.541
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. 541–548
summary	Recent advancements in text-to-image technology have transformed the landscape of computational creativity by enabling the generation of conceptual images. By implementing innovative standards for image generation, we can now shift our focus from the constraints of notational design communication to more purposeful reflection, opening up new design possibilities for future architectures informed by contemporary ideas, concepts, and concerns. In light of the pressing climatic crisis, this paper specifically explores the relationship between text-to-image generation and the integration of environmental sensibility, aiming to explore how digital information (bits) can translate into physical reality (atoms). Our case study focuses on specific residential building typology and its façade morphology to analyse the environmental responsiveness of the design. We propose a workflow that merges creative and analytic processes, through different stages, including diffusion-generated conceptual images, 2D to 3D through depth-mapping and point-cloud meshing, semantic segmentation analysis and sunlight simulation. The paper describes the methods and their combination into a coherent workflow, outlines encountered setbacks, and suggests stages for further improvement.
keywords	Computational Creativity, Text-to-Image, Simulation, Environmental Responsiveness, Machine Intelligence
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia12_217
id	acadia12_217
authors	Dourtme, Stella ; Ernst, Claudia ; Garcia, Manuel Jimenez ; Garcia, Roberto
year	2012
title	Digital Plaster: A Prototypical Design System
doi	https://doi.org/10.52842/conf.acadia.2012.217
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 217-230
summary	Contemporary computational design processes offer more potential in the design of complex formal architectural outcomes when material processes and fabrication techniques are incorporated within a digital working methodology. This paper discusses the research project “Digital Plaster” which show-cases the development of such an architectural machine that enabled a digital design process to incorporate fabrication and structural form finding processes within flexible formwork plaster casting by the means of digitally depicting a material ecology.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:55

_id	ijac201816401
id	ijac201816401
authors	Doyle, Shelby and Nick Senske
year	2018
title	Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence
source	International Journal of Architectural Computing vol. 16 - no. 4, 271-280
summary	This speculative essay examines a single drawing, produced in a collaboration between the authors and a Turtle robot, in a search for methods to evaluate and document provenance in artificial intelligence and robotic design. Reflecting upon the layers of authorship in our case study reveals the complex relationship that already exists between human and machine collaborators. In response to this unseen provenance, we propose new modes to document the full range of creative contribution to the design and production of artifacts from intellectual inputs to digital representations to physical labor. A more comprehensive system for artificial intelligence/robotic attribution could produce counter- narratives to technological development which more fully acknowledge the contributions of both humans and machines. As artificially intelligent design technologies distinguish themselves with distinct capabilities and eventual autonomy, a system of embedded attribution becomes the basis for human–machine collaboration, indeterminacy, and unexpected new applications for existing tools and methods.
keywords	Artificial intelligence, robotics, metadata, attribution, co-authorship, ethics
series	journal
email
last changed	2019/08/07 14:04

_id	ijac202220203
id	ijac202220203
authors	Dzieduszyñski, Tomasz
year	2022
title	Machine learning and complex compositional principles in architecture: Application of convolutional neural networks for generation of context-dependent spatial compositions
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 196–215
summary	A substantial part of architectural and urban design involves processing of compositional interdependenciesand contexts. This article attempts to isolate the problem of spatial composition from the broader category ofsynthetic image processing. The capacity of deep convolutional neural networks for recognition and utilization of complex compositional principles has been demonstrated and evaluated under three scenariosvarying in scope and approach. The proposed method reaches 95.1%–98.5% efficiency in the generation ofcontext-fitting spatial composition. The technique can be applied for the extraction of compositionalprinciples from the architectural, urban, or artistic contexts and may facilitate the design-related decisionmaking by complementing the required expert analysis
keywords	Spatial composition, architecture, convolutional neural network, ordering principles, machine learning, image generation, design, CAAD
series	journal
last changed	2024/04/17 14:29

_id	caadria2024_497
id	caadria2024_497
authors	El Mesawy, Mohamed, Zaher, Nawal and El Antably, Ahmed
year	2024
title	From Topology to Spatial Information: A Computational Approach for Generating Residential Floorplans
doi	https://doi.org/10.52842/conf.caadria.2024.1.129
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 129–138
summary	Multimodal models that combine different media like text, image, audio, and graph have revolutionised the architectural design process, which could provide automated solutions to assist the architects during the early design stages. Recent studies use Graph Neural Networks (GNNs) to learn topological information and Convolution Neural Networks (CNNs) to learn spatial information from floorplans. This paper proposes a deep learning multimodal model incorporating GNNs and the Stable Diffusion model to learn the floorplan's topological and spatial information. The authors trained a Stable Diffusion model on samples from the RPLAN dataset. They used graph embedding for conditional generation and experimented with three approaches to whole-graph embedding techniques. The proposed Stable Diffusion model maps the user input, a graph representing the room types and their relationships, to the output, the predicted floorplans, as a raster image. The Graph2Vec and contrastive learning methods generate superior representational capabilities and yield good and comparable results in both computationally derived scores and evaluations conducted by human assessors, compared to the Graph Encoder-CNN Decoder.
keywords	Floorplan Generation, Deep Generative Models, Multimodal Machine Learning, Graph Neural Networks [Gnns], Representation Learning
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2023_180
id	ecaade2023_180
authors	Engelhart, Yael and Sprecher, Aaron
year	2023
title	YONA 2.0 The Reenactment: Visions of computerized machines
doi	https://doi.org/10.52842/conf.ecaade.2023.1.751
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 1, Graz, 20-22 September 2023, pp. 751–760
summary	This paper describes research work that reenacts the interactive planning system YONA (Your Own Native Architect) designed in the early 1970s by the architect Yona Friedman, together with Nicolas Negroponte and Guy Weinzapfel at the MIT Architecture Machine Group (AMG). The attempts to give users a measure of control over dwellings was seen a democratizing factor and a way forward for solving housing shortage and rigid planning process. We engaged in a close collaboration with Yona Friedman and Guy Weizanpfel to reenact the original YONA system. Our objective was to rebuild the program and adapt it to current operating systems.
keywords	Architecture Computation, Reenactment, Digital experimentation, MIT, Flatwriter, YONA
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2022_78
id	ecaade2022_78
authors	Eroglu, Ruºen and Gül, Leman Figen
year	2022
title	Architectural Form Explorations through Generative Adversarial Networks - Predicting the potentials of StyleGAN
doi	https://doi.org/10.52842/conf.ecaade.2022.2.575
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 2, Ghent, 13-16 September 2022, pp. 575–582
summary	In recent years, generative models have been rapidly transforming into a broad field of research, and artificial intelligence (AI) works are increasing. Since deep learning technologies such as Generative Adversarial Networks (GANs) providing synthesized new images are becoming more accessible, researchers in the design and related fields are very much interested in adapting GANs into practice. Especially, StyleGAN has a strong capability for image learning, reconstruction simulation, and absorbing the pixel characteristics of images in the input dataset. StyleGAN also produces similar imitation outputs and summarizes all the input data into one "average output". The study aims to reveal the potential of these outputs that can be employed as a visual inspiration aid for designers. This article will discuss the outputs of the experiments, findings, and prospects of StyleGAN.
keywords	Artificial Intelligence, Machine Learning, Generative Adversarial Networks, StyleGAN
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia17_248
id	acadia17_248
authors	Felbrich, Benjamin; Fru?h, Nikolas; Prado, Marshall; Saffarian, Saman; Solly, James; Vasey, Lauren; Knippers, Jan; Menges, Achim
year	2017
title	Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long-Span Composite Structures
doi	https://doi.org/10.52842/conf.acadia.2017.248
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. 248-259
summary	Fiber composite materials have tremendous potential in architectural applications due to their high strength-to-weight ratio and their ability to be formed into complex shapes. Novel fabrication processes can be based on the unique affordances and characteristics of fiber composites. Because these materials are lightweight and have high tensile strength, a radically different approach to fabrication becomes possible, which combines low-payload yet long-range machines—such as unmanned aerial vehicles (UAV)—with strong, precise, yet limited-reach industrial robots. This collaborative concept enables a scalable fabrication setup for long-span fiber composite construction. This paper describes the integrated design process and design development of a large-scale cantilevering demonstrator, in which the fabrication setup, robotic constraints, material behavior, and structural performance were integrated in an iterative design process.
keywords	material and construction; fabrication; construction; robotics
series	ACADIA
email
last changed	2022/06/07 07:50

_id	caadria2017_018
id	caadria2017_018
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Waterjet and Wire-cutting Workflows in Stereotomic Practice - Material Cutting of Wave Jointed Blocks
doi	https://doi.org/10.52842/conf.caadria.2017.787
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. 787-797
summary	In the context of stereotomic practice, advanced fabrication with waterjet and wire-cutting of interlocking wave geometry has opened up new possibilities for crafting stone modules with precision and efficiency. This paper discusses the utilization of machined cutting techniques, the processes and workflows of fabricating joint systems for arched and vaulted surface geometries. It presents a comparative study with multiple criteria; such as geometry, method, material, machine and workflow. Furthermore, this paper presents research into the comparison between abrasive waterjet cutting and wire cutting of modules in stone and foam.
keywords	Stereotomy; Wire Cutting; WaterJet; Wave Blocks; Workflow
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_116
id	ecaadesigradi2019_116
authors	Fernando, Shayani
year	2019
title	Collaborative Crafting of Interlocking Structures in Stereotomic Practice
doi	https://doi.org/10.52842/conf.ecaade.2019.2.183
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 183-190
summary	Situated within the art of cutting solids (stereotomy) and the evolution of machine tools; this research will investigate subtractive fabrication in relation to robotic carving of stone structures. The advancement of the industrial revolutions in the mid to late 19th century saw the rise of new building techniques and materials which were primarily based on structural steel construction. The modern aesthetic of the time further diminished the place of traditional stonework and ornamentation in modern structures within the building arts. This paper will focus on the design and fabrication of three sculptural dry-stone modular prototypes investigating interlocking self-supporting structures in stone. Examining the value of robotic technologies in the design and construction process in relation to collaborative crafting of the hand and machine. Accommodating for material tolerances which are a major factor in this research. Interrogating the value of robotic crafting with material implications and exploring the role of the artisan in machine crafted architectural components.
keywords	Collaborative; Crafting; Interlocking; Structures; Robotic Fabrication; Digital Stone
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:50

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