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	sigradi2023_179
id	sigradi2023_179
authors	He, Mingyi, Su, Zixin, Xie, Yantong and Tu, Han
year	2023
title	Linguistic Landscape Research on the Relationship of Urban Language and Commerce Based on Large-scale Street View Images
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. 1737–1748
summary	Urban linguistic landscape studies examine visible written languages in urban areas, revealing socio-economic information, such as the place identity of minority groups and the localization processes of exotic language varieties. However, studies mainly utilize qualitative analysis or small-scale image acquisition without integrating socioeconomic quantitative analysis. Our research aims to expand the quantitative indicators of linguistic landscape in city-wide scale to explore the relationship between detailed quantitative text analysis and consumer prices in spatially differentiated and temporally controlled urban street view images. We examine such correlation through street view images scrapping of historical Baidu Street View images, semantic segmentation machine learning tools, and Optical Character Recognition. Our study reveals a negative correlation between linguistic landscape indicators in street signage and consumption levels. This research provides quantitative methods for large-scale and repeatable study of linguistic landscape, introducing a novel perspective on linguistic landscape evidence for further urban economic development and urban segmentation.
keywords	Cultural landscapes and new technologies, Linguistic landscape, Machine learning, Urban economy, Street view
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	acadia23_v2_72
id	acadia23_v2_72
authors	Hosmer, Tyson; Mutis, Sergio; Hughes, Eric; He, Ziming; Siedler, Philipp; Gheorghiu, Octavian; Erdinçer, Bariº
year	2023
title	Autonomous Collaborative: Robotic Reconfiguration with Deep Multi-Agent Reinforcement Learning (ACRR+DMARL)
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 72-90.
summary	To address the unprecedented challenges of the global climate and housing crises, requires a radical change in the way we conceive, plan, and construct buildings, from static continuous objects to adaptive eco-systems of reconfigurable parts. Living systems in nature demonstrate extraordinary scalable efficiencies in adaptive construction with simple flexible parts made from sustainable materials. The interdisciplinary field of collec- tive robotic construction (CRC) inspired by natural builders has begun to demonstrate potential for scalable, adaptive, resilient, and low-cost solutions for building construc- tion with simple robots. Yet, to explore the opportunities inspired by natural systems, CRC systems must be developed utilizing artificial intelligence for collaborative and adaptive construction, which has yet to be explored. Autonomous Collaborative Robotic Reconfiguration (ACRR) is a robotic material system with an adaptive lifecycle trained with deep, multi-agent reinforcement learning (DMARL) for collaborative reconfigura- tion. Autonomous Collaborative Robotic Reconfiguration is implemented through three interrelated components codesigned in relation to each other: 1) a reconfigurable robotic material system; 2) a cyber-physical simulation, sensing, and control system; and 3) a framework for collaborative robotic intelligence with DMARL. The integration of the CRC system with bidirectional cyber-physical control and collaborative intelligence enables ACRR to operate as a scalable and adaptive architectural eco-system. It has the potential not only to transform how we design and build architecture, but to fundamentally change our relationship to the built environment moving from automated toward autonomous construction.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	acadia23_v3_169
id	acadia23_v3_169
authors	Kanngieser, AM
year	2023
title	Ethics and Ecocidal Listening: Oceanic Refractions as an Artistic Case Study
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	In 2018 I was invited to visit the archipelago of Kiribati, located in the Pacific Ocean around 1000 miles from Hawaii. A big ocean state, Kiribati holds a land mass of around 315 sq. miles and an oceanic economic zone of 1,328,890 sq. mi. Tarawa, the most inhabited of the islands peaks at around 3 m above sea level. I went to Kiribati in part to meet with Dr Teweiariki Teaero, a renowned scholar, poet and educator who had directed the Oceania Center at the University of the South Pacific in Fiji for many years before returning to his homeland where at the time he had been planning on running for government. Teweiariki spoke with me at length about the status of Kiribati as one of the already most critically affected frontline nations. I asked him what was a lesson for non-Pacific Islanders to learn about understanding everyday life there. He said to me “Two ears, one mouth, don’t talk too much. Learn to listen more. Not only to hear, but to be able to develop another thing and that is to be able to interpret. These things are different, they occur at different levels. The hearing and the interpretation of the sound…it’s very much part of our world” (Teaero 2018).
series	ACADIA
type	keynote
email
last changed	2024/04/17 14:00

_id	acadia23_v2_362
id	acadia23_v2_362
authors	Konis, Kyle
year	2023
title	Rover Printing: A Novel Approach to Rapid Prototyping of Large-Scale Climate Altering Pneumatic Structures
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 362-370.
summary	he aim of this project is to develop and experimentally test the applicability of an auton- omous robotic fabrication process (Rover Printing) enabling rapid prototyping of climate altering pneumatic structures addressing critical issues of shade equity, urban cooling, and geoengineering. The work draws on the expressive, climatic, sensory, and tech- nical dimensions of pneumatic architecture to expand the possibilities of climate change mitigation beyond the dominant narrative of crisis and utilitarian response by enabling prototypes that are celebratory, creative, and playful, in addition to performative, low cost, and rapidly deployable. A digital/physical prototyping workflow is presented, including physics simulation, performative analysis, autonomous physical fabrication using a novel Rover Printer (Figure 1), and hands-on making. The workflow enables prototyping of novel climate-altering structures, tunable to local conditions, which utilize air as their primary structural material. Prototypes manifest the impulse to “solve” the climate crisis while simultaneously serving to explore the technical and social dimensions of climate change mitigation from a more creative and human-engaged perspective.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	architectural_intelligence2023_11
id	architectural_intelligence2023_11
authors	Hua Chai & Philip F. Yuan
year	2023
title	Hybrid intelligence
doi	https://doi.org/https://doi.org/10.1007/s44223-023-00029-w
source	Architectural Intelligence Journal
summary	Alongside shifts in the technological landscape, the origin of creativity in architectural design has been consistently evolving. According to French philosopher Bernard Stiegler, the architectural design process is never individualistic but rather shaped by the complex interaction between human creativity and what he terms the “pre-individual milieu”, the synthesis of various factors such as cultural heritage, technological innovation (Stiegler, 2016). Over the last three decades, the emergence of digital technologies such as the Internet of Things, virtual reality, and artificial intelligence has significantly enhanced the dynamism and diversity of human–machine communication. With the advancement of digital technologies in the field of architecture, artificial intelligence, machine intelligence, and material intelligence are increasingly integrated into the creative process. In the form of hybrid intelligence, this shift expands the scope of architectural creativity and creative agency beyond the mere intelligent landscape of the human mind. As suggested by architectural theorist Antoine Picon, “another possibility is to consider the pairing of man and machine as a new composite subject……This proposition is suggested by various contemporary reflections on computer technologies and their anthropological dimension” (Picon, 2011).
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	ijac202321103
id	ijac202321103
authors	Soltan Rahmati, Hossein; Mohammad Hossein Ayatollahi
year	2023
title	Benjamin W. Betts and his computable approach towards morphogenesis
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 1, pp. 42–66
summary	Morphological theories in architecture are more popular than ever partly due to the rapid developments in computational techniques. This rapid development, however, is more fruitful when it is informed of the philosophical and ethical bases of such techniques. The neglected historical case of Benjamin W. Betts, an architect of the late Victorian Britain, is an early example of the effects of philosophical presuppositions on computable theories of morphogenesis in arts and architecture. The aims of this study are to shed light on his motivations and sources of inspiration, and also to present an algorithm for his procedure. We used the only book available on the Betts’ works in addition to archival materials to conduct the research. Betts was under heavy influence of Idealism and Oriental thought in his symbology and the morphogenetic procedure he designed. The Python/Grasshopper algorithm for Rhino presented in this paper produces two dimensional Betts’ diagrams that can be used as an educational tool or an opportunity of enjoying the beauty of mathematical forms, and the immense variety they offer thanks to parameterization.
keywords	fourth dimension, architecture, computational morphogenesis, geometrical psychology
series	journal
last changed	2024/04/17 14:30

_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
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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
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	cdrf2023_476
id	cdrf2023_476
authors	Harrison Hildebrandt, Mengxi He, Peng-An Chen, Rebeca Duque Estrada, Christoph Zechmeister, Achim Menges
year	2023
title	Slack Pack: Fabrication System for the Dual Robotic Winding of Spatial Fiber Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_40
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	Advancements in technology are ushering in an era in architecture in which new design methods and tools are being developed that necessitate entirely new means of fabrication, and, inversely, novel innovations in fabrication require completely new ways of designing. Coreless filament winding is a contemporary fabrication method in which fiber reinforced polymers are robotically wound on frames. Even though research on the frame design has reached promising levels of adaptability and material efficiency, these frames limit fabrication flexibility and increase fabrication time and costs. This paper introduces Slack Pack, a novel fiber winding technique for the fabrication of deployable spatial structures. It eliminates the use of frames by introducing slack into the fabrication process through the controlled tensioning and un-tensioning of fibers. Slack Pack employs a cyber-physical fabrication system that combines a generative design workflow and a multi-agent robotic fabrication setup with a custom end effector. The proposed method is evaluated through a series of physical experiments and digital simulations, demonstrating its potential for the fabrication of spatial fiber structures.
series	cdrf
email
last changed	2024/05/29 14:04

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