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	ijac202119311
id	ijac202119311
authors	Kovacs, Adam Tamas; Micsik, Andras
year	2021
title	BIM quality control based on requirement linked data
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 431–448
summary	This article discusses a BIM Quality Control Ecosystem that is based on Requirement Linked Data in order to create a framework where automated BIM compliance checking methods can be widely used. The meaning of requirements is analyzed in a building project context as a basis for data flow analysis: what are the main types of requirements, how they are handled, and what sources they originate from. A literature review has been conducted to find the present development directions in quality checking, besides a market research on present, already widely used solutions. With the conclusions of these research and modern data management theory, the principles of a holistic approach have been defined for quality checking in the Architecture, Engineering and Construction (AEC) industry. A comparative analysis has been made on current BIM compliance checking solutions according to our review principles. Based on current practice and ongoing research, a state-of-the-art BIM quality control ecosystem is proposed that is open, enables automation, promotes interoperability, and leaves the data governing responsibility at the sources of the requirements. In order to facilitate the flow of requirement and quality data, we propose a model for requirements as Linked Data and provide example for quality checking using Shapes Constraint Language (SHACL). As a result, an opportunity is given for better quality and cheaper BIM design methods to be implemented in the industry.
keywords	Compliance check, quality assurance, quality control, linked data, requirement, BIM
series	journal
email
last changed	2024/04/17 14:29

_id	ascaad2021_079
id	ascaad2021_079
authors	Guedes, Italo; Max Andrade
year	2021
title	Man-Machine Interaction in the Evaluation of Airport Design Process in Brazil
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 742-749
summary	This paper addresses the use of BIM for code verification and automatic validation of the Airports Design (AD). In Brazil, the evaluation and approval of AD are carried out by INFRAERO. Currently, designs are evaluated manually, resulting in errors and long evaluation time. To deal with this problem, a conceptual framework for automated AD assessment with Code Checking is proposed. The method used was Design Science Research, with the proposal of an artifact. The partial results show man-machine interaction as a way more efficient to evaluate the airport design process in Brazil. This man-machine interaction its leads to a mixed model evaluation, with the use of Code Checking for the less complex stages of evaluation and leaving the man responsible for evaluating those more complex, subjective and difficult to implement rules.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ijac202119310
id	ijac202119310
authors	Schwartz, Yair; Raslan, Rokia; Korolija, Ivan; Mumovic, Dejan
year	2021
title	A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 401–430
summary	Building performance evaluation is generally carried out through a non-automated process, where computational models are iteratively built and simulated, and their energy demand is calculated. This study presents a computational tool that automates the generation of optimal building designs in respect of their Life Cycle Carbon Footprint (LCCF) and Life Cycle Costs (LCC). This is achieved by an integration of three computational concepts: (a) A designated space-allocation generative-design application, (b) Using building geometry as a parameter in NSGA-II optimization and (c) Life Cycle performance (embodied carbon and operational carbon, through the use of thermal simulations for LCCF and LCC calculation). Examining the generation of a two-storey terrace house building, located in London, UK, the study shows that a set of building parameters combinations that resulted with a pareto front of near-optimal buildings, in terms of LCCF and LCC, could be identified by using the tool. The study shows that 80% of the optimal building’s LCCF are related to the building operational stage (o= 2), while 77% of the building’s LCC is related to the initial capital investment (o= 2). Analysis further suggests that space heating is the largest contributor to the building’s emissions, while it has a relatively low impact on costs. Examining the optimal building in terms compliance requirements (the building with the best operational performance), the study demonstrated how this building performs poorly in terms of Life Cycle performance. The paper further presents an analysis of various life-cycle aspects, for example, a year-by-year performance breakdown, and an investigation into operational and embodied carbon emissions.
keywords	Generative design, genetic algorithms, thermal simulation, life cycle, carbon, LCA, NSGA-II, building performance
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_243
id	caadria2021_243
authors	Stojanovic, Djordje and Vujovic, Milica
year	2021
title	Contactless and context-aware decision making for automated building access systems
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 193-202
doi	https://doi.org/10.52842/conf.caadria.2021.2.193
summary	In the current context of the COVID-19 pandemic, contactless solutions are becoming increasingly important to making buildings more resilient to the spread of infectious diseases in complementing social distancing and disinfection procedures for disease prevention. The presented study focuses on contactless technology and its role beyond automated interaction with the built environment by examining how it expedited space use and could improve compliance with sanitary norms. We introduce a conceptual framework for the intelligent operation of automated doors in an educational facility, enabled by the network of sensory devices and the application of computational techniques. Our research indicates how versatile data gathered by RFID systems, in conjunction with data extracted from occupancy schedules and sanitary protocols, can be used to enable the intelligent and context-aware application of disease prevention measures. In conclusion, we discuss the benefits of the proposed concept and its role beyond the need for social distancing after the pandemic.
keywords	Human-Building Interaction; Interactive Environments; Responsive Environments; Occupancy Scheduling; Occupational Density
series	CAADRIA
email
last changed	2022/06/07 07:56

_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	ascaad2021_021
id	ascaad2021_021
authors	Albassel, Mohamed; Mustafa Waly
year	2021
title	Applying Machine Learning to Enhance the Implementation of Egyptian Fire and Life Safety Code in Mega Projects
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 7-22
summary	Machine Learning has become a significant research area in architecture; it can be used to retrieve valuable information for available data used to predict future instances. the purpose of this research was to develop an automated workflow to enhance the implementation of The Egyptian fire & life safety (FLS) code in mega projects and reduce the time wasted on the traditional process of rooms’ uses, occupant load, and egress capacity calculations to increase productivity by applying Supervised Machine Learning based on classification techniques through data mining and building datasets from previous projects, and explore the methods of preparation and analyzing data (text cleanup- tokenization- filtering- stemming-labeling). Then, provide an algorithm for classification rules using C# and python in integration with BIM tools such as Revit-Dynamo to calculate cumulative occupant load based on factors which are mentioned in the Egyptian FLS code, determine classification and uses of rooms to validate all data related to FLS. Moreover, calculating the egress capacity of means of egress for not only exit doors but also exit stairs. In addition, the research is to identify a clear understanding about ML and BIM through project case studies and how to build a model with the needed accuracy.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	sigradi2021_304
id	sigradi2021_304
authors	Andia, Alfredo
year	2021
title	Synthetic Biology Imaginations for the Biscayne Bay, Florida
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. 1487–1497
summary	This project attempts to reimagine Miami and coastal communities with the advent of climate change and the rise of biotechnology. We develop a speculative vision/plan for the Biscayne Bay estuary that envisions infrastructures that grow by themselves using synthetic biology. In this paper, we elaborate on how Synthetic Biology has evolved to become the fastest growing technology in human history, its potential in the development of large-scale infrastructures, and its impact on the future imaginations of Architecture.
keywords	Automated Workflows, Synthetic Biology, Artificial Intelligence, Architecture, Sea-level Rise
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia21_258
id	acadia21_258
authors	Augustynowicz, Edyta; Smigielska, Maria; Nikles, Daniel; Wehrle, Thomas; Wagner, Heinz
year	2021
title	Parametric design and multirobotic fabrication of wood facades
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. 258-269.
doi	https://doi.org/10.52842/conf.acadia.2021.258
summary	The paper describes the findings of the applied research project by Institute Integrative Design (currently ICDP) HGK FHNW and ERNE AG Holzbau to design and manufacture prefabricated wooden façades in the collaborative design manner between architects and industry. As such, it is an attempt to respond to the current interdisciplinary split in the construction, which blocks innovation and promotes standardized inefficient building solutions. Within this project, we apply three innovations in the industrial setup that result in the integrated design-to-production process of individualized, cost-efficient and well-crafted façades. The collaborative design approach is a method in which architect, engineer and manufacturer start exchange on the early stage of the project during the collaborative design workshops. Digital design and fabrication tools enable architects to generate a large scope of façade variations within production feasibility of the manufacturer and engineers to prepare files for robotic production. Novel multi-robot fabrication processes, developed with the industrial partner, allows for complex façade assembly. This paper introduces the concept of digital craftsmanship, manifested in a mixed fabrication system, which intelligently combines automated and manual production to obtain economic feasibility and highest aesthetic quality. Finally, we describe the design and fabrication of the project demonstrator consisting of four intricate façades on a modular office building, inspired by local traditional solutions, which validate the developed methods and highlight the architectural potential of the presented approach.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_222
id	ecaade2021_222
authors	Azambuja Varela, Pedro, Sousa, José Pedro and Silva Dias, Joana
year	2021
title	Drawing-to-Factory Process - Using freehand drawing to drive robotic assembly of brick walls
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 189-194
doi	https://doi.org/10.52842/conf.ecaade.2021.1.189
summary	The developments of digital technology applied to architecture in the recent decades has allowed for direct communication from the studio to fabrication. However, this process is typically dependent on complicated computational processes, enlarging the distance from the benefits of the traditional drawing approaches employed by architects. This research intends to explore possibilities of reenacting the drawing as a means of computational generative design which feeds automated systems of construction. By using a Cobot directed by an algorithm which reads a simple drawn curve on paper, an automated brick wall is built, as demonstrated in two exhibitions. This mixed approach allows for technology in architectural design and construction to be more accessible to a wider audience, while blurring the boundaries between concept and materialization.
keywords	robotic assembly; human-robot collaboration; non-standard structures; digital fabrication; computational design; interactive fabrication
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cdrf2021_368
id	cdrf2021_368
authors	B. Bala Murali Kumar, Yun Chung Hsueh, Zhuoyang Xin, and Dan Luo
year	2021
title	Process and Evaluation of Automated Robotic Fabrication System for In-Situ Structure Confinement
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_34
summary	The additive manufacturing process is gaining momentum in the construction industry with the rapid progression of large-scale 3D printed technologies. An established method of increasing the structural performance of concrete is by wrapping it with Fibre Reinforced Polymer (FRP). This paper proposes a novel additive process to fabricate a FRP formwork by dynamic layer winding of the FRP fabric with epoxy resin paired with an industrial scale robotic arm. A range of prototypes were fabricated to explore and study the fabrication parameters. Based on the systemic exploration, the limitations, the scope, and the feasibility of the proposed additive manufacturing method is studied for large scale customisable structural formworks.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_225
id	caadria2021_225
authors	Cao, Shuqi and Ji, Guohua
year	2021
title	Automatically generating layouts of large-scale office park using position-based dynamics
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 21-30
doi	https://doi.org/10.52842/conf.caadria.2021.1.021
summary	In this paper we propose an automatic layout algorithm using PBD (Position-Based Dynamic) for large-scale office park planning. Typically, the organization of buildings into a layout is a labor-intensive problem, and takes up most of designers working time. Unlike Evolutionary Algorithms who has high computational cost, and GAN (Generative Adversarial Networks) whose constraints are not explicit, PBD can handle complex geometric constraints fast enough to be used in interactive environments. The high efficiency will not only accelerate the design iteration from draft to drawings, but also provide precious feasible sample for performance optimization. Furthermore, PBD is intuitive and flexible to be implemented which makes it a potential technique to be used in real design workflow.
keywords	Generative Design; Automated Layout Generation; Position-Based Dynamics; Real-time Design Tool; Exploratory Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac202119312
id	ijac202119312
authors	Chen, Chen; Chacón Vega, Ricardo Jose; Kong, Tiong Lee
year	2021
title	Using genetic algorithm to automate the generation of an open-plan office layout
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 449–465
summary	Today, the concept of open plan is more and more widely accepted that many companies have switched to open-plan offices. Their design is an issue in the scope of space layout planning. Although there are many professional architectural layout design software in the market, in the real life, office designers seldom use these tools because their license fees are usually expensive and using them to solve an open-plan office design is like using an overly powerful and expensive tool to fix a minor problem. Therefore, manual drafting through a trial and error process is most often used. This article attempts to propose a lightweight tool to automate open-plan office layout generation using a nested genetic algorithm optimization with two layers, where the inner layer algorithm is embedded in the outer one. The result is enhanced by a local search. The main objective is to maximize space utilization by maximizing the size of the open workspace. This approach is different from its precedents, in that the location search is conducted on a grid map rather than several pre-selected candidate locations. Consequently, the generated layout design presents a less rigid workstation arrangement, inviting a casual and unrestrictive work environment. The real potential of the approach is reflected in the productivity of test fits. Automating and simplifying the generation of layouts for test fits can tremendously decrease the amount of time and resources required to generate them. The experimental case study shows that the developed approach is powerful and effective, making it a totally automated process.
keywords	Automated process, office design, genetic algorithm, open-plan office, space layout planning
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2021_56
id	sigradi2021_56
authors	Duclos-Prevet, Claire, Guena, François and Effron, Mariano
year	2021
title	Constrained Multi-Criteria Optimization for Integrated Design in Professional Practice
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. 29–40
summary	To design sustainable architecture, theory encourages architects to rely on automated exploration processes. In practice, the problems encountered are often multicriteria and under constraint. This paper compares different constraint handling strategies, approachable to designer, for processes involving evolutionary algorithms. Four methods are tested on a case study from professional practice. Two methods rely on parametric models: the penalty function method and the use of hyperparameters. The others involve the use of generative techniques: a rule-based method and a repair algorithm that takes the form of an agent-based model. This study highlights the significant impact of the choice of the constraint management method on exploration performance. Among other results, it appears that models involving the use of generative techniques are more efficient than those using parametric models. This calls for the development of dedicated tools.
keywords	building enveloppe design, generative design, agent-based modeling, multiobjective genetic algorithm, daylighting simulation
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	sigradi2021_162
id	sigradi2021_162
authors	Feitoza de Gois, Aline, Monteiro dos Santos, Marcela and Quezado Costa Lima, Mariana
year	2021
title	Information Design and Land Regularization: The Optimization Processes of Blueprints and Descriptive Memorials on the SIG Platform
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. 877–887
summary	Among many legal processes and political issues that hinder the Land Regularization of informal urban settlements, the delay in the production of technical documents (blueprints and descriptive memorials) and the number of errors in the systematization of information stand out. Thus, this work presents an information design methodology, aiming to optimize the documentation process through Geographic Information Systems (GIS). As a result, there was an average reduction in the production time of blueprints and memorials when compared to previous experiences of standard documentation. Errors that were still persistent were found exactly in processes that were not yet automated and needed a certain degree of mechanization. Therefore, even though the legal and political challenges seem insurmountable and need to be on the agenda, it is important to project possibilities for the technical barriers to the regularization of informal settlements, to which information design can contribute.
keywords	Regularizaçao Fundiária, Modelagem da Informaçao da Cidade, Segurança da posse, Sistemas de Informaçao Geográfica.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_330
id	cdrf2021_330
authors	Felix Amtsberg, Caitlin Mueller, and Felix Raspall
year	2021
title	Di-terial – Matching Digital Fabrication and Natural Grown Resources for the Development of Resource Efficient Structures
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_30
summary	The research presented in this paper focusses on the concept of “Diterial” which aims to merge digital design and fabrication technology with natural materials such as bamboo poles and raw timber. It proposes a digital workflow that uses sensing techniques to gain individual material information of natural, unprocessed construction resources and identify their individual strengths and characteristics and therefore its potential in load-carrying structures. This information is then used to develop bespoke designs and fabrication concepts, bridging the gap between unprocessed material and automated fabrication setups. Two case studies, developed to prove this concept, are described and compared. Both cases focused on the development of spatial structures using node-bar combinations of local resources.
series	cdrf
email
last changed	2022/09/29 07:53

_id	sigradi2021_112
id	sigradi2021_112
authors	Franco, Mariana and Pazmino, Ana
year	2021
title	Design of an Automated Kitchen Countertop with an Emphasis on Internet of Things (IoT)
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. 955–966
summary	This paper aims to present the development of an automated kitchen counter, which incorporates the Internet of Things (IoT) concept and offers new ways for the consumer to handle food, its preparation and the waste generated in the process. The methodology chosen for the development of this furniture was Design Thinking and, by gathering information such as automated furniture, trends, target audience research and competitor analysis, it was possible to create an automated counter and graphical interface based on three main concepts: multifunctional, ecofriendly and connected.
keywords	Bancada de cozinha, internet das coisas IoT, design de produto
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ascaad2021_039
id	ascaad2021_039
authors	Heydari, Maziar; Mohammadjavad Mahdavinejad, Khosro Daneshjoo
year	2021
title	Utilizing Behavioral Agent-Based Modeling in an Automated Integrative Design Process
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 32-42
summary	Developing shift in architectural practice from previously exercised to late computational methods struggles to harmonize the concentration and consolidation between physical and humane aspects of a project or even the very thinking mechanism itself. Integrating Design workflow with the emerging simulation environment of agent-based modeling (ABM) in the complex architectural process can help us formulate a non-linear method. In this method, various complex design aspects such as humans' socio-behavioral attributes and structural complexities can be utilized to render an evolving design profile. Employing ABM in the design process enables us to evaluate complex problems using node-based tools to generate complicated simulation and exercise an adequate approach.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_210
id	caadria2021_210
authors	Hsiao, Chi-Fu, Lee, Ching-Han, Chun-Yen, Chen and Teng-Wen, Chang
year	2021
title	A Distributed Agents Approach for Design and Fabricating Process Management among Prototyping Practice Environment
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 593-601
doi	https://doi.org/10.52842/conf.caadria.2021.1.593
summary	This paper develops a design and fabrication process management platform for prototyping practice environments using a robot operating system (ROS) framework, which we refer to as a fabricating operating service (FOS). The FOS executes a sequence of fabrication workflow that goes from materials handling, positioning, fabrication simulation, executing process to parts assembling. Each work phase is considered a different activity in the execution phase and a compact printed circuit board node to send and receive physical data. These nodes are registered onto an FOS cloud master, which distributes the node-to-node communication and links up the entire sequence of the workflow map. We propose FOS given that its loose, coupled, and distributed computation framework allows the fabrication team to visualize and record data using sharable ROS package structures. The FOS provides the advantage of easily creating additional tools, configurations, and automated scripts, and it increases the fabrication capabilities by simplifying and providing solutions for future robotic-aided fabrication development.
keywords	ROS; prototype; node; fabrication workflow;
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2021_118
id	caadria2021_118
authors	Huang, Chien-hua
year	2021
title	Reinforcement Learning for Architectural Design-Build - Opportunity of Machine Learning in a Material-informed Circular Design Strategy
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 171-180
doi	https://doi.org/10.52842/conf.caadria.2021.1.171
summary	This paper discusses the potentials of reinforcement learning in game engine for design, implementation, and construction of architecture. It inaugurates a new design tool that promotes a material-informed design-build workflow for architectural design and construction industries that achieves a comprehensive circular economy. As a proof of concept, it uses the project Reform Standard, a machine-learning-based searching system that designs new shell structures composed of existing wasted materials, as a demonstration to discuss how reinforcement learning, machine vision and automated searching algorithm in the game engine can promote a material-aware design and converts wastes into construction materials. The demonstrator project sorts and transforms irregular chunks of wasted broken plastics into a new form. Instead of recycling those wastes in an energy-intensive process, the game engine is capable of finding the intricacy and new machine-oriented aesthetics in those otherwise neglected wastes. Furthermore, future research directions such as robotic-aided construction are discussed by exposing the potentials and problems in the demonstrated project. Finally, the future circular strategy is discussed beyond the demonstrated tests and local uses. The standardization of material, legislation and material lifecycle needs to be comprehensively considered and designed by architects and designers during conceptual design phase.
keywords	Reinforcement Learning; ML-Agents; Unity3D; circular design; geometric analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

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