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	caadria2018_154
id	caadria2018_154
authors	Scotto, Fabio, Lloret Fritschi, Ena, Gramazio, Fabio, Kohler, Matthias and Flatt, Robert J.
year	2018
title	Adaptive Control System for Smart Dynamic Casting - Defining Fabrication-Informed Design Tools and Process Parameters in Digital Fabrication Processes
doi	https://doi.org/10.52842/conf.caadria.2018.1.255
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 255-264
summary	This paper describes the process control system and the fabrication-informed design tool developed for Smart Dynamic Casting (SDC) - the innovative technique that merges the process of slipforming with robotic fabrication technologies to enable greater geometrical freedom in the production of architectural components made of concrete. The paper focuses on the process parameters that characterizes the production workflow and it outlines the system-specific geometry rationalization algorithm developed for the definition of feasible geometries. Furthermore, the paper introduces the first application of the SDC design tool within the architectural context of the DFAB HOUSE, a building project realized entirely by robotic and digital technologies.
keywords	Digital fabrication; Smart Dynamic Casting; Control System; Design tool
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia18_286
id	acadia18_286
authors	Claire Im, Hyeonji; AlOthman, Sulaiman; García del Castillo, Jose Luis
year	2018
title	Responsive Spatial Print. Clay 3D printing of spatial lattices using real-time model recalibration
doi	https://doi.org/10.52842/conf.acadia.2018.286
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. 286-293
summary	Additive manufacturing processes are typically based on a horizontal discretization of solid geometry and layered deposition of materials, the speed and the rate of which are constant and determined by the stability criteria. New methods are being developed to enable three-dimensional printing of complex self-supporting lattices, expanding the range of possible outcomes in additive manufacturing. However, these processes introduce an increased degree of formal and material uncertainty, which require the development of solutions specific to each medium. This paper describes a development to the 3D printing methodology for clay, incorporating a closed-loop feedback system of material surveying and self-correction to recompute new depositions based on scanned local deviations from the digital model. This Responsive Spatial Print (RSP) method provides several improvements over the Spatial Print Trajectory (SPT) methodology for clay 3D printing of spatial lattices previously developed by the authors. This process compensates for the uncertain material behavior of clay due to its viscosity, malleability, and deflection through constant model recalibration, and it increases the predictability and the possible scale of spatial 3D prints through real-time material-informed toolpath generation. The RSP methodology and early successful results are presented along with new challenges to be addressed due to the increased scale of the possible outcomes.
keywords	work in progress, closed loop system, spatial clay printing, self-supporting lattice, in-situ printking, extrusion rate, material behavior
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ijac201816205
id	ijac201816205
authors	Faircloth,Billie; Ryan Welch, Martin Tamke, Paul Nicholas, Phil Ayres, Yulia Sinke, Brandon Cuffy and Mette Ramsgaard Thomsen
year	2018
title	Multiscale modeling frameworks for architecture: Designing the unseen and invisible with phase change materials
source	International Journal of Architectural Computing vol. 16 - no. 2, 104-122
summary	Multiscale design and analysis models promise a robust, multimethod, multidisciplinary approach, but at present have limited application during the architectural design process. To explore the use of multiscale models in architecture, we develop a calibrated modeling and simulation platform for the design and analysis of a prototypical envelope made of phase change materials. The model is mechanistic in nature, incorporates material-scale and precinct scale-attributes, and supports the design of two- and three-dimensional phase change material geometries informed by heat transfer phenomena. Phase change material behavior, in solid and liquid states, dominates the visual and numerical evaluation of the multiscale model. Model calibration is demonstrated using real-time data gathered from the prototype. Model extensibility is demonstrated when it is used by designers to predict the behavior of alternate envelope options. Given the challenges of modeling phase change material behavior in this multiscale model, an additional multiple linear regression model is applied to data collected from the physical prototype in order to demonstrate an alternate method for predicting the melting and solidification of phase change materials.
keywords	Multiscale modeling, mechanistic modeling, heat transfer modeling, phase change materials, model validation
series	journal
email
last changed	2019/08/07 14:03

_id	acadia18_376
id	acadia18_376
authors	Kalantari, Saleh; Becker, Aaron T.; Ike, Rhema
year	2018
title	Designing for Digital Assembly with a Construction Team of Mobile Robots
doi	https://doi.org/10.52842/conf.acadia.2018.376
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. 376-385
summary	Advances in construction automation have primarily focused on creating heavy machines to accomplish repetitive tasks. While this approach is valuable in an assembly-line context, it does not always translate well for the diverse terrain and dynamic nature of construction sites. As a result, the use of automation in the architectural assembly has lagged far behind other industries. To address the challenges of construction-site assembly, this project suggests an alternative technique that uses a fl eet of smaller robots working in parallel. The proposed method, which is inspired by the construction techniques of insect colonies, has several advantages over the use of larger machines. It allows for much greater on-site fl exibility and portability. It is also easy to scale the operation, by adding or removing additional units as needed. The use of multiple small robots provides operational redundancy that can adapt to the loss of any particular machine. These advantages make the technology particularly suitable for construction in hazardous or inaccessible areas. The use of assembly robots also opens new horizons for design creativity, allowing architects to explore new ideas that would be unwieldy and expensive to construct using traditional techniques. In our tests, we used a team of small mobile robots to fold 2D laser-cut stock into 3D curved structures, and then assemble these units into larger interlocked forms.
keywords	full paper, automated assembly, digital fabrication, collective behavior, robot, swarm network
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	acadia18_232
id	acadia18_232
authors	Kilian, Axel
year	2018
title	The Flexing Room Architectural Robot. An Actuated Active-Bending Robotic Structure using Human Feedback
doi	https://doi.org/10.52842/conf.acadia.2018.232
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. 232-241
summary	Advances in autonomous control of object-scale robots, both anthropomorphic and vehicular, are posing new human–machine interface challenges. In architecture, very few examples of autonomous inhabitable robotic architecture exist. A number of factors likely contribute to this condition, among them the scale and cost of architectural adaptive systems, but on a more fundamental conceptual level also the questions of how architectural robots would communicate with their human inhabitants. The Flexing Room installation is a room-sized actuated active-bending skeleton structure. It uses rudimentary social feedback by counting people to inform its behavior in the form of actuated poses of the room enclosure. An operational full-scale prototype was constructed and tested. To operate it no geometric-based simulation was used; the only communication between computer and structure was in sending values for the air pressure settings and in gathering sensor feedback. The structure’s physical state was resolved through the embodied computation of its interconnected parts, and the people-counting sensor feedback influences its next action. Future work will explore the development of learning processes to improve the human–machine coexistence in space.
keywords	full paper, fabrication & robotics, non-production robotics, materials/adaptive systems, flexible structures
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	caadria2018_228
id	caadria2018_228
authors	Newton, David
year	2018
title	Accommodating Change and Open-Ended Search in Design Optimization
doi	https://doi.org/10.52842/conf.caadria.2018.2.175
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 175-184
summary	Many real-world architectural multi-objective problems (MOPs) are dynamic and may have objectives, decision variables, and constraints that change during the optimization process. These problems are known as dynamic MOPs (DMOPs). Dynamic multi-objective evolutionary algorithms (DMOEAs) have emerged in the fields of optimization, operations research, and computer science as one way to address the challenges posed by DMOPs. DMOEAs offer new capacities for exploration and interaction with the designer, but they have not yet been studied in the field of architecture. This research addresses these issues through the development of a unique interactive DMOEA-based design tool for the conceptual design phase. We propose a new modification to the popular nondominated sorting genetic algorithm II (NSGA-II), that we call the dynamic progressive for architecture NSGA-II (DPA-NSGA-II). We show that DPA-NSGA-II outperforms NSGA-II in finding novel solutions.
keywords	algorithmic design; multi-objective optimization; evolutionary computation; parametric design; generative design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	sigradi2018_1671
id	sigradi2018_1671
authors	Brito, Michele; de Sá, Ana Isabel; Borges, Jéssica; Rena, Natacha
year	2018
title	IndAtlas - Technopolitic platform for urban investigation
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. 1305-1312
summary	This article presents the project of the urban research platform IndAtlas, currently in early development stage by UFMG’s Research Group Indisciplinar. Through the association of crowdsourcing tools, a spatial database and the production of visualizations of different types, it is intended to create a Web platform for collecting, analyzing and depicting information about processes of production and transformation of urban space. It is proposed that the phenomena (themes) investigated in the platform are approached mainly from four axes: 1) spatial / territorial; 2) temporal; 3) social; 4) communicational. To do this, we try to combine online collaborative maps with the production of dynamic timelines and visualizations of networks of social actors (graphs), connected with social networks and Wiki pages. The article will address the development of Indisciplinar’s working method, which guided the proposal of the platform, as well as the functional and technical aspects to be observed for its implementation, the proposed architecture and the importance of interoperability for the project. Finally, the inquiries derived from the first test experiment of an IndAtlas test prototype will be presented. The experiment took place in a workshop belonging to the Cidade Eletrônika 2018 Festival – an arts and technology event. The workshop was offered in January of the same year, and it proposed a collaborative cartography of the Santa Tereza neighborhood, in Belo Horizonte / MG – a traditional neighborhood of great importance for historical heritage, currently subject to great real estate pressure and the focus of a series of territorial disputes.
keywords	IndAtlas, Crowdsourcing, Urban Technopolitics,, Digital Cartographies,, Spatial Data.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
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. 659-668
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_233
id	ecaade2018_233
authors	Kontiza, Iacovina, Spathi, Theodora and Bedarf, Patrick
year	2018
title	Spatial Graded Patterns - A case study for large-scale differentiated space frame structures utilising high-speed 3D-printed joints
doi	https://doi.org/10.52842/conf.ecaade.2018.2.039
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. 39-46
summary	Geometric differentiation is no longer a production setback for industrial grade architectural components. This paper introduces a design and fabrication workflow for non-repetitive large-scale space frame structures composed of custom-manufactured nodes, which exploits the advantages of latest advancements in 3D-printing technology. By integrating design, fabrication and material constraints into a computational methodology, the presented approach addresses additive manufacturing of functional industry-grade parts in short time, high speed and low cost. The resulting case study of a 4.5 x 4.5 x 2.5 m lightweight kite structure comprises 1380 versatile fully-customised connectors and outlines the manifold potential of additive manufacturing for architecture much bigger than the machine built space. First, after briefly introducing space frames in architecture, this paper discusses the computational framework of generating irregular space frames and parametric joint design. Second, it examines the advantages of MJF printing in conjunction with integrating smart sequencing details for the following assembly process. Finally, a conclusive outlook is given on improvements and further developments for bespoke 3D-printed space frame structures.
keywords	3D-printing; Multi-Jet Fusion; Space Frame; Graded Subdivision
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2018_046
id	caadria2018_046
authors	Lu, Siliang and Cochran Hameen, Erica
year	2018
title	Integrated IR Vision Sensor for Online Clothing Insulation Measurement
doi	https://doi.org/10.52842/conf.caadria.2018.1.565
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 565-573
summary	As one of the most important building systems, HVAC plays a key role in creating a comfortable thermal environment. Predicted Mean Vote (PMV), an index that predicts the mean value of the votes of a large group of persons on the thermal sensation scale, has been adopted to evaluate the built environment. Compared to environmental factors, clothing insulation can be much harder to measure in the field. The existing research on real-time clothing insulation measurement mainly focuses on expensive infrared thermography (IR) cameras. Therefore, to ensure cost-effectiveness, the paper has proposed a solution consisting of a normal camera, IR and air temperature sensors and Arduino Nanos to measure clothing insulation in real-time. Moreover, the algorithm includes the initialization from clothing classification with pre-trained neural network and optimization of the clothing insulation calculation. A total of 8 tests have been conducted with garments for spring/fall, summer and winter. The current results have shown the accuracy of T-shirt classification can reach over 90%. Moreover, compared with the results with IR cameras and reference values, the accuracies of the proposed sensing system vary with different clothing types. Research shall be further conducted and be applied into the dynamic PMV-based HVAC control system.
keywords	clothing insulation; skin temperature; clothing classification; IR temperature sensor; Optimization
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_132
id	caadria2018_132
authors	Yan, Chao
year	2018
title	"Real Virtuality" in the Process of Digitally Embedded Perception
doi	https://doi.org/10.52842/conf.caadria.2018.1.091
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 91-100
summary	The "digital turn" in architecture is ontologically drawn from Deleuzian philosophy, particularly the thinking defined by Manuel Delanda as real virtuality. This philosophical thinking reflects the essential paradigm of digital design-a generative process driven by intensive difference to approach the singularity of form in a space of possibilities. However, no matter how dynamic the design process is in digital software, the construction result of a building is unavoidably static and permanent. Thus, the essence of digital design will always be misaligned with the material reality of its production. Addressing on this confliction, the research is trying to rethink the philosophical term "real virtuality" in the process of human perception. By examining different theories about the anti-static condition of perception, it forms a novel perspective to address the dynamic relationship between building form, virtual "information" and human perception, and extends the productivity of "becoming" from digital design process to the process of building colonization.
keywords	Digital Design Theory; Real Virtuality; New Materialism; Perception; Visual Uncertainty
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2021_286
id	cdrf2021_286
authors	Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year	2021
title	Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2018_278
id	caadria2018_278
authors	Caetano, In?s, Ilunga, Guilherme, Belém, Catarina, Aguiar, Rita, Feist, Sofia, Bastos, Francisco and Leit?o, António
year	2018
title	Case Studies on the Integration of Algorithmic Design Processes in Traditional Design Workflows
doi	https://doi.org/10.52842/conf.caadria.2018.1.111
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 111-120
summary	Algorithmic design processes have enormous potential for architecture. Even though some large design offices have already incorporated such processes in their workflow, so far, these have not been seriously considered by the large majority of traditional small-scale studios. Nevertheless, as the integration of algorithmic techniques inside architectural studios does not require mastering programming skills, but rather taking advantage of a collaborative design process, small design studios are therefore able of using such strategies within their workflow. This paper discusses a series of challenges presented by one of these studios, where we had to integrate algorithmic design processes with the studio's traditional workflow.
keywords	Collaborative design; Algorithmic design; Design strategies; Design workflow processes
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2018_052
id	caadria2018_052
authors	Fung, Enrica and Crolla, Kristof
year	2018
title	Choreographed Architecture - Body-Spatial Exploration
doi	https://doi.org/10.52842/conf.caadria.2018.1.101
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 101-110
summary	This paper presents a design-methodological case study that looks into the practical expansion of conventional conceptual architectural design media by incorporating contemporary technology of motion capture. It discusses challenges of integrating dance movement as a real-time input parameter for architectural design that aims at translating body motion into space. The paper consists of four parts, beginning with a historic background overview of scientists, physiologists, artists, choreographers, and architects who have attempted capturing body motion and turning the motion into space. The second part of the paper discusses the iterative development of the 'Dance Machine' as a methodological tool for the integration of motion capture into conceptual architectural design. Thirdly, the paper discusses tested design applications of the 'Dance Machine' by looking at two sited applications. Finally, the overall methodology is critically assessed and discussed in the light of continuous development of creative applications of motion capturing technology. The paper concludes by highlighting the architectural potential found in specific qualities of dance and by advocating for a broader palette of tools, techniques, and input methods for the conceptual design of architecture.
keywords	Choreographed architecture; Motion capture; Conceptual design media; Space design; Human body
series	CAADRIA
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
doi	https://doi.org/10.52842/conf.acadia.2018.126
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
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	caadria2018_302
id	caadria2018_302
authors	Lee, Alric, Tei, Hirokazu and Hotta, Kensuke
year	2018
title	Body-Borne Assistive Robots for Human-Dependent Precision Construction - The Compensation of Human Imprecision in Navigating 3-Dimensional Space with a Stand-Alone, Adaptive Robotic System
doi	https://doi.org/10.52842/conf.caadria.2018.1.545
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
summary	The rapid growth of complex contemporary architecture design, contributed by the advance in parametric CAD/CAM software, is accompanied by challenges in the production process; it demands both highly trained workers and technical equipments. This paper reviews current technologies in robotics-aided construction and wearable computers for generic purposes, and proposes the design of a robotic device for construction guidance. It guides the user, the worker, through the assembly process of precision modular constructions, by providing procedural mechanical or haptic assistance in the 3-dimensional positioning of building components. The device is designed to be wearable, portable, and operable as a completely stand-alone system that requires no external infrastructure. A prototype of the device is tested with a mock-up masonry construction experiment, the result of which is reported in this paper, along with discussion for future improvement and application opportunities within the context of highly developed, condensed Japanese urban environments. A greater objective of this paper is to bridge current studies in Human-Computer Interaction (HCI) and digital fabrication in architecture and promote the potentials of human workers in future construction scenes.
keywords	digital fabrication; human-computer interaction; 3d positioning; wearable robotics; guided construction
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia18_434
id	acadia18_434
authors	Meibodi, Mania Aghaei ; Jipa, Andrei; Giesecke, Rena; Shammas, Demetris; Bernhard, Mathias; Leschok, Matthias; Graser, Konrad; Dillenburger, Benjamin
year	2018
title	Smart Slab. Computational design and digital fabrication of a lightweight concrete slab
doi	https://doi.org/10.52842/conf.acadia.2018.434
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. 434-443
summary	This paper presents a computational design approach and novel digital fabrication method for an optimized lightweight concrete slab using a 3D-printed formwork. Smart Slab is the first concrete slab fabricated with a 3D-printed formwork. It is a lightweight concrete slab, displaying three-dimensional geometric differentiation on multiple scales. The optimization of slab systems can have a large impact on buildings: more compact slabs allow for more usable space within the same building volume, refined structural concepts allow for material reduction, and integrated prefabrication can reduce complexity on the construction site. Among the main challenges is that optimized slab geometries are difficult to fabricate in a conventional way because non-standard formworks are very costly. Novel digital fabrication methods such as additive manufacturing of concrete can provide a solution, but until now the material properties and the surface quality only allow for limited applications. The fabrication approach presented here therefore combines the geometric freedom of 3D binderjet printing of formworks with the structural performance of fiber reinforced concrete. Using 3D printing to fabricate sand formwork for concrete, enables the prefabrication of custom concrete slab elements with complex geometric features with great precision. In addition, space for building systems such as sprinklers and Lighting could be integrated in a compact way. The design of the slab is based on a holistic computational model which allows fast design optimization and adaptation, the integration of the planning of the building systems, and the coordination of the multiple fabrication processes involved with an export of all fabrication data. This paper describes the context, design drivers, and digital design process behind the Smart Slab, and then discusses the digital fabrication system used to produce it, focusing on the 3D-printed formwork. It shows that 3D printing is already an attractive alternative for custom formwork solutions, especially when strategically combined with other CNC fabrication methods. Note that smart slab is under construction and images of finished elements can be integrated within couple of weeks.
keywords	full paper, digital fabrication, computation, generative design, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	sigradi2018_1787
id	sigradi2018_1787
authors	Pereira Jr., Clorisval
year	2018
title	Speculative cartography and the formation of public interest issues
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. 1333-1339
summary	This work discusses how locative media and the democratization of geoprocessing technologies have reconfigured our experience with the urban space, opening up new territories for the construction of the public. It also discusses perspectives and challenges that speculative practices with locative media bring to disciplines such as design, architecture and engineering, and to the production of more sustainable ways of life. For that matter, this work presents some experiments with locative media and digital cartographies that aim to give visibility to our social relation with the urban space and to support processes of sense-making about issues of public interest.
keywords	Locative media; Critical cartography; Social cartography; Speculative design
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	sigradi2018_1322
id	sigradi2018_1322
authors	Pereira Stehling, Miguel; Coeli Ruschel, Regina
year	2018
title	Proposal of a Process of Mass Customization of Kitchen Cabinetry
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. 397-407
summary	Digital Fabrication has been widely used for the production of standardized building components, but not so in the engineered-to-order fabrication strategy, a system in which the customer’s needs are fulfilled in the design stage. Mass Customization meets the demands of a customer at a cost near that of Mass Production. This study presents the current stage of an Action Research dealing with Mass Customization, design and BIM adoption challenges, proposing the adoption of BIM aiming Mass Customization at engineered-to-order systems for Small and Medium Enterprises. It uses Web-based User Interface and Revit and Dynamo models exported to Computer Numerical Control machines.
keywords	Mass customization; Engineered-to-order; Digital fabrication; Prefabrication; BIM
series	SIGRADI
email
last changed	2021/03/28 19:59

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