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 ecaade2018_195
id ecaade2018_195
authors D¹browska-¯ó³tak, Karolina, Wojtowicz, Jerzy and Wrona, Stefan
year 2018
title Design and Automation for Seniors - Robot aided design of an environment for the elderly and disabled.
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 541-550
doi https://doi.org/10.52842/conf.ecaade.2018.1.541
summary The changing social structure and the development of new technologies in the emerging Society of Knowledge makes possible the development a new kind of living space or habitat that adapts and responds to the needs and problems of elderly. The exponential growth of the aging population in EU, US and Japan is well proven and it urgently calls for the innovative solutions. Today use of automated and robotic elements in design opens the new possibilities for architecture. This paper offers the background of the problem, presents few precedents of assisted by mechatronics solutions, review the four experimental design projects from Warsaw University of Technology and in conclusion propose the agenda for further design research.
keywords mechatronic; architecture; seniors
series eCAADe
email
last changed 2022/06/07 07:55

_id ijac201816203
id ijac201816203
authors Anderson, Carl; Carlo Bailey, Andrew Heumann and Daniel Davis
year 2018
title Augmented space planning: Using procedural generation to automate desk layouts
source International Journal of Architectural Computing vol. 16 - no. 2, 164-177
summary We developed a suite of procedural algorithms for space planning in commercial offices. These algorithms were benchmarked against 13,000 actual offices designed by human architects. The algorithm performed as well as an architect on 77% of offices, and achieved a higher capacity in an additional 6%, all while following a set of space standards. If the algorithm used the space standards the same way as an architect (a more relaxed interpretation), the algorithm achieved a 97% match rate, which means that the algorithm completed this design task as well as a designer and in a shorter time. The benchmarking of a layout algorithm against thousands of existing designs is a novel contribution of this article, and we argue that it might be a first step toward a more comprehensive method to automate parts of the office layout process.
keywords Office design, design augmentation, space planning, automation, office layout, desk layouts
series journal
email
last changed 2019/08/07 14:03

_id ecaade2018_309
id ecaade2018_309
authors Aºut, Serdar, Eigenraam, Peter and Christidi, Nikoletta
year 2018
title Re-flex: Responsive Flexible Mold for Computer Aided Intuitive Design and Materialization
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 717-726
doi https://doi.org/10.52842/conf.ecaade.2018.1.717
summary The paper presents an ongoing research about the design and a possible use of a responsive flexible mold. The mold is developed by integrating its precedents with automation and Human-Computer Interaction (HCI). The objective of the design is to provide an immersive design tool which has direct link to fabrication. It allows intuitive interaction to its user in order to help with the design and production of complex forms by supporting the designer's implicit skills with computer. The paper presents the design by illustrating the use of the hardware such as the actuators, the sensor and the projector; and by defining the workflow within the software. The paper concludes with the description of a possible use case in which the system is used to design and materialize an object in different scales.
keywords Design tools development; Digital fabrication and robotics; Human-computer interaction in design; Shape, form and geometry; Inventive Making
series eCAADe
email
last changed 2022/06/07 07:54

_id ecaade2018_405
id ecaade2018_405
authors Belém, Catarina and Leit?o, António
year 2018
title From Design to Optimized Design - An algorithmic-based approach
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. 549-558
doi https://doi.org/10.52842/conf.ecaade.2018.2.549
summary Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series eCAADe
email
last changed 2022/06/07 07:54

_id ecaade2018_268
id ecaade2018_268
authors Cheang, Jeremy Jenn Ren and Loh, Paul
year 2018
title FOAM - Custom Single Task Construction Robot
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 157-164
doi https://doi.org/10.52842/conf.ecaade.2018.1.157
summary This paper discusses the design and fabrication of a novel in-situ fabrication system for building cladding envelope. The construction industry has utilised automation in onsite construction for many decades. This research examines how through the automation process, different construction techniques can be combined to generate a new system that is both performance and design lead. Through abstracting generative effects through the design process, the results are feedback into the fabrication process to construct a more meaningful dialogue between form, material and fabrication procedure. Using electronic prototyping, the researchers tested the system through large-scale prototypes. The paper concludes by discussing the interaction between material and design. We examine how this is evident in the machine workflow. The article addresses the theme of the conference through examining a revision of tool in design that embodied research knowledge for a more sustainable environment.
keywords Digital Fabrication, Design workflow, Automation
series eCAADe
email
last changed 2022/06/07 07:55

_id caadria2018_008
id caadria2018_008
authors Crolla, Kristof, Cheng, Paul Hung Hon, Chan, Ding Yuen Shan, Chan, Arthur Ngo Foon and Lau, Darwin
year 2018
title Inflatable Architecture Production with Cable-Driven Robots
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. 9-18
doi https://doi.org/10.52842/conf.caadria.2018.1.009
summary This paper argues for alternative methods for the in-situ integration of robotics in architectural construction. Rather than promoting off-site pre-fabrication through industrial robot applications, it advocates for suspended, light-weight, cable-driven robots that allow flexible and safe onsite implementation. This paper uses the topic of large-scale inflatable architectural realisation as a study case to test the application of such a robot, here with a laser-cutter as end-effecter. This preliminary study covers the design, development, prototyping, and practical testing of an inherently scale-less cable-driven laser-cutter setup. This setup allows for the non-size specific cutting of inflatable structures' components which can be designed with common physics simulation engines. The developed robotic proof of concept forms the basis for several further and future study possibilities that merge the field of architectural design and implementation with mechanical and automation engineering.
keywords Cable-driven robots; In-situ robotic fabrication; Large-scale fabrication; Inflatable architecture; Cross-disciplinarily
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2018_139
id ecaade2018_139
authors Cudzik, Jan and Radziszewski, Kacper
year 2018
title Artificial Intelligence Aided Architectural Design
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 77-84
doi https://doi.org/10.52842/conf.ecaade.2018.1.077
summary Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools that suit their specific needs. In some cases, they use artificial intelligence. Despite many similarities, they have different advantages and disadvantages. Therefore the change in the design process is more visible and unseen before solution are brought in the discipline. The article presents methods of applying the selected artificial intelligence algorithms: swarm intelligence, neural networks and evolutionary algorithms in the architectural practice by authors. Additionally research shows the methods of analogue data input and output approaches, based on vision and robotics, which in future combined with intelligence based algorithms, might simplify architects everyday practice. Presented techniques allow new spatial solutions to emerge with relatively simple intelligent based algorithms, from which many could be only accomplished with dedicated software. Popularization of the following methods among architects, will result in more intuitive, general use design tools.
keywords computer aideed design; artificial intelligence,; evolutionary algorithms; swarm behaviour; optimization; parametric design
series eCAADe
email
last changed 2022/06/07 07:56

_id acadia18_126
id acadia18_126
authors Johns, Ryan Luke; Anderson, Jeffrey
year 2018
title Interfaces for Adaptive Assembly
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 126-135
doi https://doi.org/10.52842/conf.acadia.2018.126
summary While robotic tools have greatly expanded the scope of computational control and design freedom in architectural assembly, the vast majority of projects involving robotic customization depend on standardized, mass produced components. By relinquishing some design agency to automated systems which respond to on-site material variations, it is possible to produce methods of construction which rely on locally-sourced components with low embodied energy. Such adaptive automation can provide resource efficiency and the aesthetic advantages of natural or reclaimed materials, but can also beget technical challenges of increasing complexity. By expanding design goals to incorporate intuitive collaborative interfaces, technical gaps can be understood even by non-experts, and leveraged towards new forms of creative expression.

This paper presents the results of an interactive installation in which visitors can provide any variety of objects to a collaborative robotic manipulator (UR5) which recognizes part geometry and attempts to construct a dry-stacked wall from the material offerings. A visual and auditory interface provides suggestions and error messages to participants to facilitate an understanding of the acceptable material morphologies which can be used within the constraints of the system.

keywords full paper, materials & adaptive systems, non-production robotics, digital materials, representation + perception
series ACADIA
type paper
email
last changed 2022/06/07 07:52

_id 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
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
doi https://doi.org/10.52842/conf.acadia.2018.376
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 ecaade2018_180
id ecaade2018_180
authors Kwieciñski, Krystian and Markusiewicz, Jacek
year 2018
title HOPLA - Interfacing Automation for Mass-customization
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. 159-168
doi https://doi.org/10.52842/conf.ecaade.2018.2.159
summary HOPLA (Home Planner) is a computer-aided design system aimed at simplifying customization of house design. It merges aspects of user-centered computer-aided design with machine-centered computerized design, as defined by Negroponte in The Architecture Machine. The tool was developed to fulfill mass-customization principles without compromising mass production efficiency and to support users' participation in design processes to help them formulate expectations and search for design solutions. We describe the details of the system development and its possible use in the process of mass-customization and participatory design of single-family houses. The system consists of two core elements: an algorithm based on a generic grammar responsible for generating design solutions in relation to user input, and a Tangible User Interface allowing users to introduce data and to control the process in an intuitive way. The main challenge in developing the system was to synchronize the freedom of user's design decisions with the rigor of machine's verification process.
keywords mass-customization; participatory design; tangible user interface; house design; generative design
series eCAADe
email
last changed 2022/06/07 07:55

_id acadia21_70
id acadia21_70
authors McAndrew, Claire; Jaschke, Clara; Retsin, Gilles; Saey, Kevin; Claypool, Mollie; Parissi, Danaë
year 2021
title House Block
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 B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 70-75.
doi https://doi.org/10.52842/conf.acadia.2021.070
summary House Block was a temporary housing prototype in East London, UK from April to May 2021. The project constituted the most recent in a series of experiments developing Automated Architecture (AUAR) Labs’ discrete framework for housing production, one which repositions the architect as curator of a system and enables participants to engage with active agency. Recognizing that there is a knowledge gap to be addressed for this reconfiguration of practices to take form, this project centred on making automation and its potential for local communities tangible. This sits within broader calls advocating for a more material alignment of inclusive design with makers and 21st Century making in practice (see, for example, Luck 2018).

House Block was designed and built using AUAR’s discrete housing system consisting of a kit of parts, known as Block Type A. Each block was CNC milled from a single sheet of plywood, assembled by hand, and then post-tensioned on site. Constructed from 270 identical blocks, there are no predefined geometric types or hierarchy between parts. The discrete enables an open-ended, adaptive system where each block can be used as a column, floor slab, wall, or stair—allowing for disconnection, reconfiguration, and reassembly (Retsin 2019). The democratisation of design and production that defines the discrete creates points for alternative value systems to enter, for critical realignments in architectural production.

series ACADIA
type project
email
last changed 2023/10/22 12:06

_id ecaade2018_193
id ecaade2018_193
authors Ostrowska-Wawryniuk, Karolina and Nazar, Krzysztof
year 2018
title Generative BIM Automation Strategies for Prefabricated Multi-Family Housing Design
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 247-256
doi https://doi.org/10.52842/conf.ecaade.2018.1.247
summary The increasing housing shortage in contemporary Poland calls for efficient ways of design and construction. In the context of time efficiency and shrinking manpower, prefabrication is considered as one of the means of introducing low and middle income housing to the market. The article presents the process of developing an experimental tool for aiding multi-family housing architectural design with the use of prefabrication. We use the potential of BIM technology as a flexible environment for comparing multiple design options and, therefore, supporting the decision-making process. The presented experiment is realized in the Autodesk Revit environment and incorporates custom generative scripts developed in Dynamo-for-Revit and Grasshopper. The prototype tool analyzes an input Revit model and simulates a prefabricated alternative based on the user-specified boundary conditions. We present our approach to the analyzing and the splitting of the input model as well as five different strategies of performing the simulation within the Revit environment.
keywords Building Information Modeling; generative BIM; residential building design; prefabrication; design automation; Dynamo
series eCAADe
email
last changed 2022/06/07 08:00

_id acadia18_66
id acadia18_66
authors Peek, Nadya; Gershenfeld, Neil
year 2018
title Mods: Browser-Based Rapid Prototyping Workflow Composition
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. 66-71
doi https://doi.org/10.52842/conf.acadia.2018.066
summary Software is shared through files and libraries, but workflows are not. To be able to share workflows for rapid automation, we developed an extensible environment for running CAD, CAM, and machine control. We present Mods, a browser-based environment for data handling, toolpath planning, and machine execution. Users compose modules (either existing modules or new modules they contribute) into workflows for machine automation sequences in a dataflow environment. The modules themselves run client side, implementing the functions used by the modules (such as toolpath planning algorithms or image analysis) in JavaScript, which runs in the browser. The physical machines are connected to a JavaScript server, which listens to commands from the client over a WebSocket connection. Together, these software modules make up an extensible and simple-to-use alternative to traditional CAD/CAM machine control environments.
keywords work in progress, software, digital fabrication, automation, computer-aided-machining
series ACADIA
type paper
email
last changed 2022/06/07 07:59

_id ecaade2018_402
id ecaade2018_402
authors Ron, Gili, Shallaby, Sara and Antonako, Theofano
year 2018
title On-Site Fabrication and Assembly for Arid Region Settlements
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 801-810
doi https://doi.org/10.52842/conf.ecaade.2018.1.801
summary With fast growing population rates and the further desertification of the global climate, desert regions, covering one fifth of the world's surface, provide an opportunity for future habitats. However, their extreme climatic conditions and remoteness pose a planning challenge, currently addressed with prefabrication and layered design; wasteful and costly solutions. This article proposes a bespoke design, fabrication and assembly process: performed in-situ with using local resources and novel automation. The research addresses challenges in on-site robotic forming and assembly of mono-material discrete elements, made in waterless concrete of sand-Sulphur composite. The formed components are examined in formwork-free assembly of wall and arch, with Pick & Place tool-path. The component's design incorporates topological and osteomorphic interlocking, facilitating structural integrity, as well as self-shading and passive cooling, to fit with local climate. This work culminates in a design proposal for constructing desert habitats, climatically adapted for Zagora oasis in the Moroccan Sahara: a remote site of hyper-arid climate.
keywords Material System; Vernacular Architecture; Digital Morphogenesis; Topological Interlocking; Robotic Fabrication; Robotic Assembly
series eCAADe
email
last changed 2022/06/07 07:56

_id acadia23_v3_71
id acadia23_v3_71
authors Vassigh, Shahin; Bogosian, Biayna
year 2023
title Envisioning an Open Knowledge Network (OKN) for AEC Roboticists
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 The construction industry faces numerous challenges related to productivity, sustainability, and meeting global demands (Hatoum and Nassereddine 2020; Carra et al. 2018; Barbosa, Woetzel, and Mischke 2017; Bock 2015; Linner 2013). In response, the automation of design and construction has emerged as a promising solution. In the past three decades, researchers and innovators in the Architecture, Engineering, and Construction (AEC) fields have made significant strides in automating various aspects of building construction, utilizing computational design and robotic fabrication processes (Dubor et al. 2019). However, synthesizing innovation in automation encounters several obstacles. First, there is a lack of an established venue for information sharing, making it difficult to build upon the knowledge of peers. First, the absence of a well-established platform for information sharing hinders the ability to effectively capitalize on the knowledge of peers. Consequently, much of the research remains isolated, impeding the rapid dissemination of knowledge within the field (Mahbub 2015). Second, the absence of a standardized and unified process for automating design and construction leads to the individual development of standards, workflows, and terminologies. This lack of standardization presents a significant obstacle to research and learning within the field. Lastly, insufficient training materials hinder the acquisition of skills necessary to effectively utilize automation. Traditional in-person robotics training is resource-intensive, expensive, and designed for specific platforms (Peterson et al. 2021; Thomas 2013).
series ACADIA
type field note
email
last changed 2024/04/17 13:59

_id ecaade2018_200
id ecaade2018_200
authors Yetiº, Gizem, Yetkin, Ozan, Moon, Kongpyung and K?l?ç, Özkan
year 2018
title A Novel Approach for Classification of Structural Elements in a 3D Model by Supervised Learning
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 129-136
doi https://doi.org/10.52842/conf.ecaade.2018.1.129
summary Development of Computer Aided Design (CAD) has made a transition from 2D to 3D architectural representation and today, designers directly work with 3D digital models for the initial design process. While these digital models are being developed, layering and labelling of 3D geometries in a model become very crucial for a detailed design phase. However, when the number of geometries increases, the process of labelling and layering becomes simple labor. Hence, this paper proposes automation for labelling and layering of segmented 3D digital models based on architectural elements. In various parametric design environments (Rhinoceros, Grasshopper, Grasshopper Python and Grasshopper Python Remote), a training set is generated and applied to supervised learning algorithms to label architectural elements. Automation of the labelling and layering 3D geometries not only advances the workflow performance of design process but also introduces wider range of classification with simple features. Additionally, this research discovers advantages and disadvantages of alternative classification algorithms for such an architectural problem.
keywords Automation; Classification; Grasshopper Python; Layering; Labelling; Supervised Learning
series eCAADe
email
last changed 2022/06/07 07:57

_id ecaade2018_138
id ecaade2018_138
authors Abdulmawla, Abdulmalik, Schneider, Sven, Bielik, Martin and Koenig, Reinhard
year 2018
title Integrated Data Analysis for Parametric Design Environment - mineR: a Grasshopper plugin based on R
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. 319-326
doi https://doi.org/10.52842/conf.ecaade.2018.2.319
summary In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.
keywords Statistical Data Analysis; Parametric Design
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 acadia18_394
id acadia18_394
authors Adel, Arash; Thoma, Andreas; Helmreich, Matthias; Gramazio, Fabio; Kohler, Matthias
year 2018
title Design of Robotically Fabricated Timber Frame Structures
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. 394-403
doi https://doi.org/10.52842/conf.acadia.2018.394
summary This paper presents methods for designing nonstandard timber frame structures, which are enabled by cooperative multi-robotic fabrication at building-scale. In comparison to the current use of automated systems in the timber industry for the fabrication of plate-like timber frame components, this research relies on the ability of robotic arms to spatially assemble timber beams into bespoke timber frame modules. This paper investigates the following topics: 1) A suitable constructive system facilitating a just-in-time robotic fabrication process. 2) A set of assembly techniques enabling cooperative multi-robotic spatial assembly of bespoke timber frame modules, which rely on a man-machine collaborative scenario. 3) A computational design process, which integrates architectural requirements, fabrication constraints, and assembly logic. 4) Implementation of the research in the design and construction of a multi-story building, which validates the developed methods and highlights the architectural implications of this approach.
keywords full paper, fabrication & robotics, generative design, computation, timber architecture
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id sigradi2018_1619
id sigradi2018_1619
authors Agirbas, Asli
year 2018
title Creating Non-standard Spaces via 3D Modeling and Simulation: A Case Study
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. 1051-1058
summary Especially in the film industry, architectural spaces away from Euclidean geometry are brought to foreground. The best environment in which such spaces can be designed, is undoubtedly the 3D modeling environment. In this study, an experimental study was carried out on the creation of alternative spaces with undergraduate architectural students. Via using 3D modeling and various simulation techniques in the Maya software, students created spaces, which were away from the traditional architectural spaces. Thus, in addition to learning the 3D modeling software, architectural students learned to use animation and simulation as a part of design, not just as a presentation tool, and opening up new horizons for non-standard spaces was provided.
keywords 3D Modeling; Simulation; Animation; CAAD; Maya; Non-standard spaces
series SIGRADI
email
last changed 2021/03/28 19:58

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