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	ecaade2017_056
id	ecaade2017_056
authors	Kontovourkis, Odysseas
year	2017
title	Multi-objective design optimization and robotic fabrication towards sustainable construction - The example of a timber structure in actual scale
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 337-346
doi	https://doi.org/10.52842/conf.ecaade.2017.1.337
summary	This paper attempts to reconsider the role of advanced tools and their effective implementation in the field of Architecture, Engineering and Construction (AEC) through the concept of sustainable construction. In parallel, the paper aims to discuss and find common ground for communication between industrial and experimental processes guided by sustainable criteria, an area of investigation that is currently in the forefront of the research work conducted in our robotic construction laboratory. Within this frame, an ongoing work into the design, analysis and automated construction of a timber structure in actual scale is exemplified and used as a pilot study for further discussion. Specifically, the structure consists of superimposed layers of timber elements that are robotically cut and assembled together, formulating the overall structural system. In order to achieve a robust, reliable and economically feasible solution and to control the automated construction process, a multi-objective design optimization process using evolutionary principles is applied. Our purpose is to investigate possibilities for sustainable construction considering minimization of cost and material waste, and in parallel, discussing issues related to the environmental impact and the feasibility of solutions to be realized in actual scale.
keywords	Multi-objective optimization; robotic fabrication; cost and material waste minimization; sustainable construction; timber structure
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2017_124
id	ecaade2017_124
authors	Pantazis, Evangelos and Gerber, David
year	2017
title	Emergent order through swarm fluctuations - A framework for exploring self-organizing structures using swarm robotics
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 75-84
doi	https://doi.org/10.52842/conf.ecaade.2017.1.075
summary	In modern architecture, construction processes are based on top down planning, yet in nature but also in vernacular architecture, the shape of shelters/nests is the result of evolutionary material processes which takes place without any global coordination or plan. This work presents a framework for exploring how self-organizing structures can be achieved in a bottom up fashion by implementing a swarm of simple robots(bristle bots). The robots are used as a hardware platform and operate in a modular 2D arena filled with differently shaped passive building blocks. The robots push around blocks and their behaviour can be programmed mechanically by changing the geometry of their body. Through physical experimentation and video analysis the relationships between the properties of the emergent patterns (size, temporal stability) and the geometry of the robot/parts are studied. This work couples a set of agent based design tools with a robust robotic system and a set of analysis tools for generating and actualising emergent 2D structures.
keywords	Multi Agent Systems; Generative Design; Swarm Robotics; Self-organizing patterns
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2017_148
id	ecaade2017_148
authors	Baseta, Efilena, Sollazzo, Aldo, Civetti, Laura, Velasco, Dolores and Garcia-Amorós, Jaume
year	2017
title	Photoreactive wearable: A computer generated garment with embedded material knowledge - A computer generated garment with embedded material knowledge
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 317-326
doi	https://doi.org/10.52842/conf.ecaade.2017.2.317
summary	Driven by technology, this multidisciplinary research focuses on the implementation of a photomechanical material into a reactive wearable that aims to protect the body from the ultraviolet radiation deriving from the sun. In this framework, the wearable becomes an active, supplemental skin that not only protects the human body but also augments its functions, such as movement and respiration. The embedded knowledge enables the smart material to sense and exchange data with the environment in order to passively actuate a system that regulates the relation between the body and its surroundings in an attempt to maintain equilibrium. The design strategy is defined by 4 sequential steps: a) The definition of the technical problem, b) the analysis of the human body, c) the design of the reactive material system, as well as d) the digital simulations and the digital fabrication of the system. The aforementioned design strategies allow for accuracy as well as high performance optimization and predictability in such complex design tasks, enabling the creation of customized products, designed for individuals.
keywords	smart materials; wearable technology; data driven design; reactive garment; digital fabrication; performance simulations
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2018_333
id	caadria2018_333
authors	Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year	2018
title	Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
doi	https://doi.org/10.52842/conf.caadria.2018.2.545
summary	Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords	Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
doi	https://doi.org/10.52842/conf.acadia.2017.284
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	caadria2017_113
id	caadria2017_113
authors	Huang, Weixin, Lin, Yuming and Wu, Mingbo
year	2017
title	Spatial-Temporal Behavior Analysis Using Big Data Acquired by Wi-Fi Indoor Positioning System
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 745-754
doi	https://doi.org/10.52842/conf.caadria.2017.745
summary	Understanding of people's spatial behavior is fundamental to architectural and urban design. However, traditional investigation methods applied in environmental behavior studies is highly limited regarding the amount of samples and regions it covers, which is not sufficient for the exploration of complex dynamic human behaviors and social activities in architectural space. Only recently the developments in indoor positioning system (IPS) and big data analysis technique have made it possible to conduct a full-time, full-coverage study on human environmental behavior. Among the variety IPS systems, the Wi-Fi IPS system is increasingly widely used because it is easy to be applied with acceptable cost. In this paper, we analyzed a 60-days anonymized data set, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. The analysis revealed interesting patterns on people's behavior besides temporal spatial distribution, ranging from the cyclical fluctuation in human flow to behavioral patterns of sub-regions, some of which are not easy to be identified and interpreted by the traditional field observation. Through this case study, behavioral data from IPS system has exhibited great potential in bringing about profound changes in the study of environmental behavior.
keywords	environmental behavior study; Wi-Fi; indoor positioning system; big data; spatial temporal behavior; ski resort
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2017_039
id	ecaade2017_039
authors	Weissenböck, Renate
year	2017
title	ROBOTRACK - Linking manual and robotic design processes by motion-tracking
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 651-660
doi	https://doi.org/10.52842/conf.ecaade.2017.1.651
summary	This study investigates design opportunities fostered by fabrication processes, ex-ploring manual and robotic forming. It links handcraft and digital fabrication techniques by implementing a motion capture system. It suggests physical prototyping as a novel form of design research, operating in the dynamic field between human capabilities, machine skills, and material behavior. This paper presents a series of experimental case studies created in a seminar taught by the author at Graz University of Technology. In this course, students con-duct tactile experiments, forming panels by hand and by robot, guided by the material behav-ior and reaction. Thereby, they explore the creation of architectural form in a dynamic inter-play between human, machine and material. Movement and speed of hand forming proce-dures are recorded into digital data, and then converted into machine code, driving a 6-axis industrial robotic arm. By using the same set-up for manual and robotic forming, both pro-cesses are relatable.
keywords	design by making; digital fabrication; robotic fabrication; thermoforming; material behavior; motion tracking; craft; design education; design research; intuition; human machine interaction
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:58

_id	caadria2017_131
id	caadria2017_131
authors	Abe, U-ichi, Hotta, Kensuke, Hotta, Akito, Takami, Yosuke, Ikeda, Hikaru and Ikeda, Yasushi
year	2017
title	Digital Construction - Demonstration of Interactive Assembly Using Smart Discrete Papers with RFID and AR codes
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 75-84
doi	https://doi.org/10.52842/conf.caadria.2017.075
summary	This paper proposes and examines a new way of cooperation between human workers and machine intelligence in architectural scale construction. For the transfer of construction information between the physical and digital world, mature technologies such as Radio Frequency IDentifier (RFID), and emerging technologies like Augmented Reality (AR) are used in parallel to supplement each other. Dynamic data flow is implemented to synchronize digital and physical models by following the ID signatures of individual building parts. The contributions of this paper includes the demonstration of current technological limitations, and the proposal of a hybrid system between human and computer, which is tested in order to explore the possibilities of digitally enhanced construction methods.
keywords	Digital Construction; Augmented Reality; Human-Machine interaction
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2018_165
id	ecaade2018_165
authors	Fisher-Gewirtzman, Dafna and Bruchim, Elad
year	2018
title	Considering Variant Movement Velocities on the 3D Dynamic Visibility Analysis (DVA) - Simulating the perception of urban users: pedestrians, cyclists and car drivers.
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. 569-576
doi	https://doi.org/10.52842/conf.ecaade.2018.2.569
summary	The objective of this research project is to simulate and evaluate the effect of movement velocity and cognitive abilities on the visual perception of three groups of urban users: pedestrians, cyclists and car drivers.The simulation and analysis is based on the 3D Dynamic Visual Analysis (DVA) (Fisher-Gewirtzman, 2017). This visibility analysis model was developed in the Rhinoceros and Grasshopper software environments and is based on the conceptual model presented in Fisher-Gewirtzman (2016): a 3D Line of Sight (LOS) visibility analysis, taking into account the integrated effect of the 3D geometry of the environment and the variant elements of the view (such as the sky, trees and vegetation, buildings and building types, roads, water etc.). In this paper, the current advancement of the existing model considers the visual perception of human users employing three types of movement in the urban environment--pedestrians, cyclists and drivers--is explored.We expect this research project to exemplify the contribution of such a quantification and evaluation model to evaluating existing urban structures, and for supporting future human perception-based urban design processes.
keywords	visibility analysis and simulation; predicting perception of space; movement in the urban environment; pedestrians; cyclists; car drivers
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia17_330
id	acadia17_330
authors	Krietemeyer, Bess; Bartosh, Amber; Covington, Lorne
year	2017
title	Shared Realities: A Method for Adaptive Design Incorporating Real-Time User Feedback using Virtual Reality and 3D Depth-Sensing Systems
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 330- 339
doi	https://doi.org/10.52842/conf.acadia.2017.330
summary	When designing interactive architectural systems and environments, the ability to gather user feedback in real time provides valuable insight into how the system is received and ultimately performs. However, physically testing or simulating user behavior with an interactive system outside of the actual context of use can be challenging due to time constraints and assumptions that do not reflect accurate social, behavioral, or environmental conditions. Employing evidence based, user-centered design practices from the field of human–computer interaction (HCI) coupled with emerging architectural design methodologies creates new opportunities for achieving optimal system performance and design usability for interactive architectural systems. This paper presents a methodology for developing a mixed reality computational workflow combining 3D depth sensing and virtual reality (VR) to enable iterative user-centered design. Using an interactive museum installation as a case study, user pointcloud data is observed via VR at full scale and in real time for a new design feedback experience. Through this method, the designer is able to virtually position him/herself among the museum installation visitors in order to observe their actual behaviors in context and iteratively make modifications instantaneously. In essence, the designer and user effectively share the same prototypical design space in different realities. Experimental deployment and preliminary results of the shared reality workflow are presented to demonstrate the viability of the method for the museum installation case study and for future interactive architectural design applications. Contributions to computational design, technical challenges, and ethical considerations are discussed for future work.
keywords	design methods; information processing; hci; VR; AR; mixed reality; computer vision
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_382
id	acadia17_382
authors	Melenbrink, Nathan; Kassabian, Paul; Menges, Achim; Werfel, Justin
year	2017
title	Towards Force-aware Robot Collectives for On-site Construction
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 382- 391
doi	https://doi.org/10.52842/conf.acadia.2017.382
summary	Due to the irregular and variable environments in which most construction projects take place, the topic of on-site automation has previously been largely neglected in favor of off-site prefabrication. While prefabrication has certain obvious economic and schedule benefits, a number of potential applications would benefit from a fully autonomous robotic construction system capable of building without human supervision or intervention; for example, building in remote environments, or building structures whose form changes over time. Previous work using a swarm approach to robotic assembly generally neglected to consider forces acting on the structure, which is necessary to guarantee against failure during construction. In this paper we report on key findings for how distributed climbing robots can use local force measurements to assess aspects of global structural state. We then chart out a broader trajectory for the affordances of distributed on-site construction in the built environment and position our contributions within this research agenda. The principles explored in simulation are demonstrated in hardware, including solutions for force-sensing as well as a climbing robot.
keywords	material and construction; physics; construction/robotics; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_426
id	acadia17_426
authors	Moorman, Andrew
year	2017
title	Pattern Making and Learning: Non-Routine Practices in Generative Design
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
doi	https://doi.org/10.52842/conf.acadia.2017.426
summary	We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords	design methods; information processing; ai & machine learning; simulation & optimization; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_122
id	ecaade2017_122
authors	Peralta, Mercedes and Loyola, Mauricio
year	2017
title	Performative Materiality - A DrawBot for Materializing Kinetic Human-Machine Interaction in Architectural Space
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 611-618
doi	https://doi.org/10.52842/conf.ecaade.2017.1.611
summary	This paper presents an exploration of movement as a design material to evidence human-machine interaction in an architectural space. An autonomous robotic vehicle with environmental sensory capabilities interacts kinetically with people by recognizing their emotional states from their body postures. A drawing device installed in the vehicle leaves a trace on the floor as a material testimony to the mutual dynamics. The complex yet surprisingly intuitive choreographic interaction of the machine and its social and physical environment blurs the boundaries between drawing, machine, and performance. In general, the project conceptualizes movement as a design material, drawing as a performative action, and social interaction as a physical force, all of which can be enhanced or mediated by digital technologies to produce results with aesthetic value.
keywords	Human-Machine Interaction; Drawing Machine; Performance Design
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2017_026
id	ecaade2017_026
authors	Renev, Ivan, Chechurin, Leonid and Perlova, Elena
year	2017
title	Early design stage automation in Architecture-Engineering-Construction (AEC) projects
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 373-382
doi	https://doi.org/10.52842/conf.ecaade.2017.1.373
summary	The paper is dedicated to conceptual design stage in AEC projects since this stage defines most of further design and even construction. Conceptual design is less automated and more human depended part of a complex design process. It is reasonable to link modern construction design software with ideas generation techniques in order to enhance and automate design creativity and effectiveness. In the article we propose computer-aided automation of searching for new conceptual ideas and nontrivial solutions during early design stage in AEC projects using such TRIZ tools as Function Modelling and Trimming in BIM technology. For description of our approach we consider framed buildings.
keywords	TRIZ; BIM; AEC; Function analysis; Trimming
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia17_534
id	acadia17_534
authors	Savov, Anton; Tessmann, Oliver
year	2017
title	Introduction to Playable Voxel-Shape Grammars
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 534- 543
doi	https://doi.org/10.52842/conf.acadia.2017.534
summary	A shape grammar is a collection of visually defined geometric rules that could be used to automate the generation of formal representations of designs for buildings, cities, products and more. We offer an extension of the shape grammar formalism based entirely on voxel space instead of vectors, which we used for the generation of schematic architectural designs. We describe a method using playability to increase human agency and designer control over the outcome of the generative phase of voxel-shape grammars. The method is presented with an implementation in the environment of Minecraft and employs three guidance mechanisms. To conclude we list a few considerations from our experience in the design of a playable, voxel-shape grammar and point to future work.
keywords	design methods; information processing; game engines; generative system; crowdsourcing
series	ACADIA
email
last changed	2022/06/07 07:57

_id	ecaade2017_252
id	ecaade2017_252
authors	Sharif, Shani, Agrawal, Varun and Sweet, Larry
year	2017
title	Adaptive Industrial Robot Control for Designers
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 151-158
doi	https://doi.org/10.52842/conf.ecaade.2017.2.151
summary	In this research, we present a system to allow designers to adaptively control an industrial robot from within a 3D modeling environment, for the purpose of real time feedback with respect to visual imagery of the object as well as robot pose during the fabrication process. Our work uses the Kuka industrial robots due to their capability in fabrication and programmability, and the Rhino 3D modeling software with the Grasshopper plugin which allows for visual programming for designers. A Microsoft Kinect sensor is used to provide visual feedback of the part during the fabrication process. We present the methodology used to develop the system, explaining various design and architecture choices made to allow for easy use of our system, while ensuring our system is open to further extension. We also show qualitative results of the fabrication process performed using our system in order to validate that our proposed system improves the interaction and collaboration between designer and robot when performing the task, in contrast to the iterative process that is generally followed.
keywords	Human-robot collaboration; Robotic fabrication; Adaptive control; Feedback
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2017_031
id	sigradi2017_031
authors	Chaves Galvão, Carolina M.; Fernando Galvão, Eliton Siqueira
year	2017
title	Patrimônio (Moderno) Digital como ação resiliente [Digital (Modern) Heritage as resilience action]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.219-222
summary	The Modern Heritage in Aracaju is still a little researched subject and the available works need to be reviewed and expanded. This paper presents the first results of a work dedicated to the analysis and registration of the Modern Heritage as a resilient action to the losses suffered, so that this heritage will resist in time and persist in the memory, enabling future research and conservation actions. The case study was the Hora Oliveira residence, which was modeled using Revit © from the development of a template, in which information about original materials and pathologies present in the building were inserted.
keywords	Digital heritage; Modern Architecture; Aracaju; Hora Oliveira residence.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2017_074
id	caadria2017_074
authors	Erhan, Halil, Chan, Janelynn, Fung, Gilbert, Shireen, Naghmi and Wang, Ivy
year	2017
title	Understanding Cognitive Overload in Generative Design - An Epistemic Action Analysis
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 127-136
doi	https://doi.org/10.52842/conf.caadria.2017.127
summary	Choice overload is experienced when designers use generative systems to explore a large number of alternatives. In an experiment, we studied the epistemic actions designers perform to reduce their cognitive load caused by possible choice overload during design exploration. The participants were asked to select alternatives among a large set of solutions in a simulated design environment. For data encoding, we adapted an epistemic action analysis method to understand which actions occurs in what phase of design. Most epistemic actions are observed during criteria applying phase. The most frequent actions were 'clustering and grouping' and 'talking and gestures to guide attention'. Ultimately our goal is to answer if a system can alleviate the possible cognitive overload when working with a large number of alternatives, if so how they would look when implemented.
keywords	generative design; parametric modeling; cognitive overload; selection; epistemic actions
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 28-37
doi	https://doi.org/10.52842/conf.acadia.2017.028
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

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