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

_id	caadria2016_777
id	caadria2016_777
authors	Aditra, Rakhmat F. and Andry Widyowijatnoko
year	2016
title	Combination of mass customisation and conventional construction: A case study of geodesic bamboo dome
doi	https://doi.org/10.52842/conf.caadria.2016.777
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 777-786
summary	With the development of advance fabrication, several digi- tal fabrication approaches have been developed. These approaches en- able better form exploration than the conventional manufacturing pro- cess. But, the built examples mostly rely on advance machinery which was not familiar or available in developed country where construction workers are still abundant. Meanwhile, much knowledge gathers in the field practice. This research is aimed to explore an alternative con- struction workflow and method with the combination of mass custom- ization and conventional construction method and to propose the structure system that emphasized this alternative workflow and meth- od. Lattice structure was proposed. The conventional construction method was used in the struts production and mass customization method, laser cutting, and was used for connection production. The algorithmic process was used mainly for data mining, details design, and component production. The backtracking was needed to be pre- dicted and addressed previously. Considerations that will be needed to be tested by further example are on the transition from the digital pro- cess to the manual process. Next research could be for analysing the other engineering aspect for this prototype and suggesting other struc- tural system with more optimal combination of conventional construc- tion and mass customization.
keywords	Mass customisation; algorithmic design; digital fabrication; geodesic dome; lattice structure
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2016_383
id	caadria2016_383
authors	Beorkrem, C.; J. Ellinger, P. Bernstein and A. Hauck
year	2016
title	Multivariate Schematic Design Tooling
doi	https://doi.org/10.52842/conf.caadria.2016.383
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 383-394
summary	This paper will examine the results from a research collaboration between (BIM Software Manufacturer) and (School), whose problem statement focused on supporting robust interoperability by defining goals focused on multivariate conceptual design tools. The collaboration included design faculty, students and software professionals, the latter providing access to a broad range of design simulation tools either commercially available or currently in development. The tools were developed first through case studies and background research, followed by the design and implementation of novel computational methods advancing the architectural design workflow by seeking to create comparative tools which allow a designer to connect multiple data typologies in a single model. With advanced computational tools employed both as standalone resources and embedded in parametric loops, we sought to provide immediate feedback on design goals.
keywords	Building information modelling; simulation and prediction; education; optimization; scripting
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia16_154
id	acadia16_154
authors	Brugnaro, Giulio; Baharlou, Ehsan; Vasey, Lauren; Menges, Achim
year	2016
title	Robotic Softness: An Adaptive Robotic Fabrication Process for Woven Structures
doi	https://doi.org/10.52842/conf.acadia.2016.154
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 154-163
summary	This paper investigates the potential of behavioral construction strategies for architectural production through the design and robotic fabrication of three-dimensional woven structures inspired by the behavioral fabrication logic used by the weaverbird during the construction of its nest. Initial research development led to the design of an adaptive robotic fabrication framework composed of an online agent-based system, a custom weaving end-effector and a coordinated sensing strategy utilizing 3D scanning.The outcome of the behavioral weaving process could not be predetermined a priori in a digital model, but rather emerged out of the negotiation among design intentions, fabrication constraints, performance criteria, material behaviors and specific site conditions. The key components of the system and their role in the fabrication process are presented both theoretically and technically, while the project serves as a case study of a robotic production method envisioned as a soft system: a flexible and adaptable framework in which the moment of design unfolds simultaneously with fabrication, informed by a constant flow of sensory information.
keywords	soft systems, agent-based systems, robotic fabrication, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia16_106
id	acadia16_106
authors	Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana
year	2016
title	Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making
doi	https://doi.org/10.52842/conf.acadia.2016.106
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 106-115
summary	Design exploration in architectural space planning is often constrained by tight deadlines and a need to apply necessary expertise at the right time. We hypothesize that a system that can computationally generate vast numbers of design options, respect project constraints, and analyze for client goals, can assist the design team and client to make better decisions. This paper explains a research venture built from insights into space planning from senior planners, architects, and experts in the field, coupled with algorithms for evolutionary systems and computational geometry, to develop an automated computational framework that enables rapid generation and analysis of space plan layouts. The system described below automatically generates hundreds of design options from inputs typically provided by an architect, including a site outline and program document with desired spaces, areas, quantities, and adjacencies to be satisfied. We envision that this workflow can clarify project goals early in the design process, save time, enable better resource allocation, and assist key stakeholders to make informed decisions and deliver better designs. Further, the system is tested on a case study healthcare design project with set goals and objectives.
keywords	healthcare spaces, facility layout design, design optimization, decision making, binary data tree structure, generative design, automated space plans
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	ascaad2016_056
id	ascaad2016_056
authors	Dutt, Florina; Subhajit Das
year	2016
title	Geospatial Tool Evaluating Job Location Mismatch, Based on Available Workforce and Transit Options - Evaluating property location in a city using large-scale datasets
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 557-566
summary	The paper addresses the issue of spatial mismatch of jobs and the accessibility to job locations based on different age, income and industry group. Taking Atlanta as a case study, we developed a geospatial analysis tool enabling developers, the city planning bureau and the residents to identify potential sites of redevelopment with better economic development opportunities. It also aids to find potential location to live with respect to user’s choices for transit options, walkability, job location and proximity to chosen land use. We built our model on a block level in the city, imparting them a score, visualizing the data as a heat map. The metrics to compute the score included proximity to job, proximity to worker’s residence, transit availability, walkability and number of landmark elements near the site. We worked with Longitudinal Employer-Household Dynamics (LEHD) Data along with residence area characteristics (RAC) and work place area characteristic (WAC) data sets, where the total number of data-points was over 3 million. It was challenging for us to optimize computation such that the prototype performs statistical analysis and updates visualization in real time. The research further is prototyped as a web application leveraging Leaflet’s Open Street Maps API and D3 visualization plugin. The research showed that there is a high degree of spatial mismatch between home and job locations with very few jobs with driving distance within 5 -10 miles with limited transit options in Atlanta. Further, it showed that low-earning workers need to travel significantly larger distance for work compared to higher class.
series	ASCAAD
email
last changed	2017/05/25 13:34

_id	acadia16_12
id	acadia16_12
authors	Gerber, David Jason; Pantazis, Evangelos
year	2016
title	A Multi-Agent System for Facade Design: A design methodology for Design Exploration, Analysis and Simulated Robotic Fabrication
doi	https://doi.org/10.52842/conf.acadia.2016.012
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 12-23
summary	For contemporary design practices, there still remains a disconnect between design tools used for early stage design exploration and performance analysis, and those used for fabrication and construction of complex tectonic architectural systems. The research brings forward downstream fabrication constraints into the up-stream design exploration and design decision making. This paper addresses the issues of developing an integrated digital design work-flow and details a research framework for the incorporation of environmental performance into a robotic fabrication for early stage design exploration and generation of intricate and complex alternative façade designs. The method allows the user to import a design surface, define design parameters, set a number of environmental performance objectives, and then simulate and select a robotic construction strategy. Based on these inputs, design alternatives are generated and evaluated in terms of their performance criteria in consideration of their robotically simulated constructability. In order to validate the proposed framework, an experimental case study of office building façade designs that are generatively created from a multi-agent system for design methodology is design explored and evaluated. Initial results define a heuristic function for improving simulated robotic constructability and illustrate the functionality of our prototype. Project limitations and future research steps are then discussed.
keywords	generative design, multi-objective design optimization, robotic fabrication, simulation, design performance, design decision making
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2016_241
id	ecaade2016_241
authors	Janssen, Patrick, Stouffs, Rudi, Mohanty, Akshata, Tan, Elvira and Li, Ruize
year	2016
title	Parametric Modelling with GIS
doi	https://doi.org/10.52842/conf.ecaade.2016.2.059
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 59-68
summary	Existing urban planning and design systems and workflows do not effectively support a fast iterative design process capable of generating and evaluating large-scale urban models. One of the key issues is the lack of flexibility in workflows to support iterative design generation and performance analyses, and easily integrate into design and planning processes. We present and demonstrate a parametric modelling system, Möbius, that can easily be linked to Geographic Information Systems for creating modular workflows, provides a novel approach for visual programming that integrates associative and imperative programming styles, uses a rich topological data structure that allows custom data attributes to be added to geometric entities at any topological level, and is fully web-based. The demonstration consists of five main stages that alternate between QGIS and Möbius, generating and analysing an urban model reflecting on site conditions and using a library of parametric urban typologies, and uses as a case study an urban design studio project in which the students sketched a set of rules that defined site coverage and building heights based on the proximity to various elements in the design.
wos	WOS:000402064400005
keywords	generative design; urban planning; Geographic Information Systems; parametric modelling
series	eCAADe
email
last changed	2022/06/07 07:52

_id	cf2017_111
id	cf2017_111
authors	Kepczynska-Walczak, Anetta; Pietrzak, Anna
year	2017
title	An Experimental Methodology for Urban Morphology Analysis
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 111.
summary	The paper presents results of a research conducted in 2015 and 2016 at Lodz University of Technology. It proposes a purpose and context fit approach towards the automation of urban data generation based on GIS tools and New Urbanism typologies. First, background studies of methods applied in urban morphology analysis are revealed. Form-Based Code planning, and subsequently Transect-Based Code are taken into account. Then, selected examples from literature are described and discussed. Finally, the research study is presented and the outcomes compared with more traditional methodology.
keywords	GIS, Urban morphology, Spatial analysis, Decision support systems, Urban design, Data analytics, Modelling and simulation
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	caadria2016_363
id	caadria2016_363
authors	Lee, Alexander; Suleiman Alhadidi and M. Hank Haeusler
year	2016
title	Developing a Workflow for Daylight Simulation
doi	https://doi.org/10.52842/conf.caadria.2016.363
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 363-372
summary	Daylight simulations are occasionally used as active tools in regards to local governing regulations, which are necessary for providing documentation. Simulation tools have been avoided in the past due to their barriers. Daylight simulation tools are used within documentation design stages as ‘passive tools’, however they do not have a direct impact on the architecture design decisions, as passive tools are used by engineers usually to derive material and glass speci- fications. Recent developments within an online community have pro- vided designers with access to daylight simulation tools within a de- sign platform accessible data can be modified and represented with local governing codes to provide designers with relevant information. The paper aimed to develop an active daylight simulation tool within a design platform. Data is filtered with the Green Star benchmarks to export visual information as well as a voxel matrix instead of 2D lu- minance maps. This paper outlines a workflow of the simulation tool used to evaluate daylight performance of a selected building as a case study in real time. The paper also details potential problems and justi- fied suggestions derived from the analysis for the building to reach the requirements within the Green Star Multi Unit Residential.
keywords	Data-driven design; computation environmental design; daylight simulation; Green Star
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2016_032
id	ecaade2016_032
authors	Lima, Fernando, Montenegro, Nuno, Beir?o, José Nuno and Kos, Jose
year	2016
title	Computational Approach for the Assessment of Transit Oriented Development Principles - A multivariate optimization method for urban planning
doi	https://doi.org/10.52842/conf.ecaade.2016.2.031
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 31-40
summary	This paper presents a computational approach to provide dynamic assessment and optimization of principles derived from Transit Oriented Development (TOD) - an urban development model that advocates compact, walkable, and mixed-use neighborhoods, centered around transport stations. In spite of being increasingly promoted in several cities of the world, TOD lacks an approach that addresses multivariate data for optimization of its principles. In this paper, we propose a methodology backed by an algorithmic-parametric CAD environment, applied to a neighborhood unit in a case study. The objective is the analysis and improvement of TOD relevant and measurable features (transit accessibility, walkability and diversity) in order to optimize neighborhoods' features. The ultimate goal is to facilitate the management of solutions in TOD planning processes, supported by a principle-index-tool approach triad.
wos	WOS:000402064400002
keywords	Transit Oriented Development; Multi-objective optimization; Computational urban planning;
series	eCAADe
email
last changed	2022/06/07 07:59

_id	sigradi2016_426
id	sigradi2016_426
authors	Lima, Fernando; Kos, Jose Ripper; Montenegro, Nuno
year	2016
title	Otimizaç?o multi-objetivo e Desenvolvimento Orientado pelo Transporte: algoritmos evolutivos em estratégias de planejamento urbano [Multi-objective optimization and Transit Oriented Development: evolutionary algorithms in urban planning strategies]
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.601-608
summary	This paper presents a computational approach to provide assessment and optimization of principles from Transit Oriented Development (TOD) - an urban development model that advocates compact, walkable, and mixed-use neighborhoods, centered around transport stations. In spite of being increasingly promoted around the world, TOD lacks an approach that addresses multivariate data for optimization of its principles. In this paper, we propose an algorithmic-parametric methodology, applied to a neighborhood unit in a case study. The objective is to demonstrate the potential of algorithmic approaches towards a more dynamic management of the large amount of data involved in DOT implementation methodologies.
keywords	Transit Oriented Development; Multi-objective optimization; Urban planning
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2016_080
id	ecaade2016_080
authors	Panagoulia, Eleanna and Schleicher, Simon
year	2016
title	Bending-active Structures - A Case study for an Office Chaise Lounge
doi	https://doi.org/10.52842/conf.ecaade.2016.1.621
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 621-630
summary	This paper seeks to explore the process of elastic bending in furniture design and presents a case study that demonstrates the creative and structural potential of bending-active structures as possible improvement to the current state of the art. This case study brings together design procedures, borrowed from declarative design in software engineering, architectural design, and material science in order to envision new applications for bending-active structures. It investigates how bending can be used strategically for the design of furniture scale objects and, particularly, an office chaise lounge for one person. Active-bending implementation is the key for creating structures that achieve new milestones beyond the perceived limits of material and process. Moreover, the project stands as a great opportunity for the development of a pipeline for fabrication that automates the translation of a given high-level description of a design, to the production of the data required for fabrication via a particular material system.
wos	WOS:000402063700067
keywords	Bending-active structures; Matter compiler; Optimization
series	eCAADe
email
last changed	2022/06/07 08:00

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
doi	https://doi.org/10.52842/conf.acadia.2016.332
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 332-341
summary	The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords	prgrammable materials, simulation and design optimization, digital fabrication, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia16_260
id	acadia16_260
authors	Schleicher, Simon; La Magna, Riccardo
year	2016
title	Bending-Active Plates: Form-Finding and Form-Conversion
doi	https://doi.org/10.52842/conf.acadia.2016.260
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 260-269
summary	With this paper, the authors aim to contribute to the discourse on bending-active structures by highlighting two different design methods, form-finding and form-conversion. The authors compare the two methods through close analysis of bending-active plate structures, discussing their advantages and disadvantages based on three built case studies. This paper introduces the core ideas behind bending-active structures, a rather new structural system that makes targeted use of large elastic deformations to generate and stabilize complex geometrical forms based on initially planar elements. Previous research has focused mainly on form-finding. As a bottom-up approach, it begins with flat plates and recreates the bending and coupling process digitally to gradually determine the final shape. Form-conversion, conversely, begins with a predefined shape that is then discretized by strategic surface tiling and informed mesh subdivision, and which in turn considers the geometrical and structural constraints given by the plates. The three built case studies exemplify how these methods integrate into the design process. The first case study applies physical and digital form-finding techniques to build a chaise lounge. The latter two convert a desired shape into wide-spanning constructions that either weave multiple strips together or connect distant layers with each other, providing additional rigidity. The presented case studies successfully prove the effectiveness of form-finding and form-conversion methods and render a newly emerging design space for the planning, fabrication, and construction of bending-active structures.
keywords	bending-active structures, form-conversion, form-finding, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	ecaade2016_046
id	ecaade2016_046
authors	Tomarchio, Ludovica, Tuncer, Bige, You, Linlin and Klein, Bernhard
year	2016
title	Mapping Planned and Emerging Art Places in Singapore through Social Media Feeds
doi	https://doi.org/10.52842/conf.ecaade.2016.2.437
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 437-446
summary	This paper presents a methodology to collect and visualize social media data about art, in order to map art locations in cities using geo-localized data, and comparing planning decisions with the actual use of spaces. As various social networks have penetrated into the daily life of people, these become one important and effective data source to understand how people perform 'arts' around the city [Shah, 2015]. The case study for this methodology is Singapore, a vibrant city where art and culture are being promoted in the light of an emerging creative economy. The Singapore government promotes art and creates 'art clusters', such as art districts, galleries, fairs and museums in the city. Additionally, artists, creative entrepreneurs, consumers, and critics seek and explore alternative spaces. Understanding where art and creativity are discussed, broadcasted and consumed in Singapore is a key point to have better insights into art space planning, and study its effects on the city.The paper will try to answer the following research question:Is it possible to discover, through social network data, spaces where art is produced, discussed, and broadcasted to an audience in Singapore? How?
wos	WOS:000402064400043
keywords	social- media; art; creative city; creative places
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia16_184
id	acadia16_184
authors	Vasey; Lauren; Long Nguyen; Tovi Grossman; Heather Kerrick; Danil Nagy; Evan Atherton; David Thomasson; Nick Cote; David Benjamin; George Fitzmaurice; Achim Menges
year	2016
title	Collaborative Construction: Human and Robotic Collaboration Enabling the Fabrication and Assembly of a Filament-Wound Structure
doi	https://doi.org/10.52842/conf.acadia.2016.184
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 184-195
summary	In this paper, we describe an interdisciplinary project and live-exhibit that investigated whether untrained humans and robots could work together collaboratively towards the common goal of building a large-scale structure composed out of robotically fabricated modules using a filament winding process. We describe the fabrication system and exhibition setup, including a custom end effector and tension control mechanism, as well as a collaborative fabrication process in which instructions delivered via wearable devices enable the trade-off of production and assembly tasks between human and robot. We describe the necessary robotic developments that facilitated a live fabrication process, including a generic robot inverse kinematic solver engine for non-spherical wrist robots, and wireless network communication connecting hardware and software. In addition, we discuss computational strategies for the fiber syntax generation and robotic motion planning which mitigated constraints such as reachability, axis limitations, and collisions, and ensured predictable and therefore safe motion in a live exhibition setting. We discuss the larger implications of this project as a case study for handling deviations due to non-standardized materials or human error, as well as a means to reconsider the fundamental separation of human and robotic tasks in a production workflow. Most significantly, the project exemplifies a hybrid domain of human and robot collaboration in which coordination and communication between robots, people, and devices can enhance the integration of robotic processes and computational control into the characteristic processes of construction.
keywords	machin vision, cyber-physical systems, internet of things, robotic fabrication, human robot collaboration, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	ecaade2016_018
id	ecaade2016_018
authors	Wurzer, Gabriel and Lorenz, Wolfgang E.
year	2016
title	SpaceBook - A Case Study of Social Network Analysis in Adjacency Graphs
doi	https://doi.org/10.52842/conf.ecaade.2016.2.229
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 229-238
summary	In this paper, we have adopted methods from Social Network Analysis in order to analyze adjacency graphs. Our intent was to uncover as much hidden structures as possible so as to improve adjacency requirements before they are used further on during the design process. To that end, we have conducted a case study using two readily available software packages (Gephi, Pajek), concluding that these could benefit from being more transparent about the underlying algorithms and more geared towards the problem domain 'adjacency analysis' when it comes to data entry and visualization. As a matter of fact, we produced an open-source prototype called SpaceBook, which customizes computation and visualization in the aforementioned spirit.
wos	WOS:000402064400022
keywords	Adjacency Graph; Social Network Analysis
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ascaad2016_017
id	ascaad2016_017
authors	Yazici, Sevil; David J. Gerber
year	2016
title	Prototyping Generative Architecture - Experiments on Multi-Agent Systems, Environmental Performance and 3D Printing
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 145-154
summary	Computational design was developed to solve complex problems in architecture and to enable the establishment of systems with complex properties in a holistic manner. With the enhanced capabilities of computational design, there are possibilities to develop integrated approaches to adapt to multi-faceted design problems. Swarm-based multi-agent systems (MAS) are already used as generative bottom-up methods in various design operations, including form-finding and optimization. This study presents a systematic approach, in which multi-agent systems are informed by the environmental performance assessment data where the output is directly linked to the 3D printing process. The intent is to increase efficiency within the design and prototyping process by integrating performance and fabrication into the early stages of the design process. The proposed method has been applied as a case study to a diverse group of students and professionals. The results have proven that applying this systematic approach enabled the designers to achieve highly sophisticated, formal and organizational outputs, with enhanced spatial and geometric qualities.
series	ASCAAD
email
last changed	2017/05/25 13:31

_id	caadria2016_631
id	caadria2016_631
authors	Alambeigi, Pantea; Sipei Zhao, Jane Burry and Xiaojun Qiu
year	2016
title	Complex human auditory perception and simulated sound performance prediction
doi	https://doi.org/10.52842/conf.caadria.2016.631
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 631-640
summary	This paper reports an investigation into the degree of con- sistency between three different methods of sound performance evalu- ation through studying the performance of a built project as a case study. The non-controlled office environment with natural human speech as a source was selected for the subjective experiment and ODEON room acoustics modelling software was applied for digital simulation. The results indicate that although each participant may in- terpret and perceive sound in a particular way, the simulation can pre- dict this complexity to some extent to help architects in designing acoustically better spaces. Also the results imply that architects can make valid comparative evaluations of their designs in an architectur- ally intuitive way, using architectural language. The research acknowledges that complicated engineering approaches to subjective analysis and to controlling the test environment and participants is dif- ficult for architects to comprehend and implement.
keywords	Human sound perception; acoustic simulation; experiment and measurement
series	CAADRIA
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last changed	2022/06/07 07:54

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