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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	caadria2020_258
id	caadria2020_258
authors	Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year	2020
title	Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
doi	https://doi.org/10.52842/conf.caadria.2020.1.405
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 405-414
summary	Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords	net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia20_182p
id	acadia20_182p
authors	Grasser, Alexander; Parger, Alexandra; Hirschberg, Urs
year	2020
title	Realtime Architecture Platform: CollabWood
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 182-187
summary	This project presents a Realtime Architecture Platform applied in a telepresence design studio to design and construct the CollabWood prototype. The platform, developed by the authors, enables an open workflow to collaborate and design in unity. It provides a persistent online environment for real-time architectural production. The work method is based on the concept of collaborative objects and distributed designers. These collaborative objects are the shared content: discrete parts, prefabs, or blocks that enable interaction, communication, and collaboration between its users and owners. The distributed designers can contribute by instantiating these collaborative objects. Users placing an object react to the local neighboring conditions and therefore add their embodied design decision to the global architecture. The users get immersed in digital proximity by communicating through the integrated chat or digital calls, discussing strategies, debating design intentions, analyzing the built structure, and scanning for improvements. This pervasive collaboration lays the foundation for a democratization of the design process. As a proof of concept, this method was implemented with 20 students in a telepresence design studio. The participants embraced the real-time workflow and applied the collaborative tool throughout the semester from different locations and time zones. Using the platform to design the CollabWood prototype in real-time collaboratively was realized as a 1:1 project with local, accessible material and AR technology for assembly. The global pandemic accelerated the importance of collaboration. Realtime Architecture Platform’s response of providing an accessible common platform for real-time interaction, design, and collaboration can be regarded as a first step towards how we might work together in the future.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ecaade2020_367
id	ecaade2020_367
authors	Jorgensen, Jens, Tamke, Martin and Poulsgaard, Kare Stokholm
year	2020
title	Occupancy-informed:Introducing a method or flexible behavioural mapping in architecture using machine vision
doi	https://doi.org/10.52842/conf.ecaade.2020.2.251
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 251-258
summary	The feedback-loops of the modern architectural design practice are broken, as architects rarely get to experience and learn about life in their buildings in a systematic way. Through novel survey and annotation methods, this project aims to develop tools and methodologies that assist architects in getting insights into the built environment. This paper describes the initial development of a framework for surveying and annotating occupant behaviour within architecture, called "Behavioural Situations". Using object recognition on embedded devices, it is possible to build an understanding of occupant behaviour, by coupling behavioural signifiers and their relations as nodes and edges in a graph representation.
keywords	Occupant behaviour; Behaviour sensing; Computer-vision
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia20_188
id	acadia20_188
authors	Tian, Runjia; Wang, Yujie; Yüce Gün, Onur
year	2020
title	Data-Driven Midsole
doi	https://doi.org/10.52842/conf.acadia.2020.2.188
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 188-197.
summary	With the advancement of additive manufacturing, computational approaches are gaining popularity in midsole design. We develop an experimental understanding of the midsole as a field and develop designs that are informed by running data. We streamline two data types, namely underfoot pressure and surface deformation, to generate designs. Unlike typical approaches in which certain types of lattices get distributed across the midsole according to average pressure data, we use ARAMIS data, reflecting the distinct surface deformation characteristics, as our primary design driver. We analyze both pressure and deformation data temporally, and temporal data patterns help us generate and explore a design space to search for optimal designs. First, we define multiple zones across the midsole space using ARAMIS data clustering. Then we develop ways to blend and distribute auxetic and isosurface lattices across the midsole. We hybridize these two structures and blend data-determined zones to enhance visual continuity while applying FEA simulations to ensure structural integrity. This multi-objective optimization approach helps enhance the midsole’s structural performance and visual coherence while introducing a novel approach to 3D-printed footwear design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 516-525.
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_456
id	acadia20_456
authors	Alali, Jiries; Negar Kalantar, Dr.; Borhani, Alireza
year	2020
title	Casting on a Dump
doi	https://doi.org/10.52842/conf.acadia.2020.1.456
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 456-463.
summary	“Casting on a dump” focuses on finding accessible, low-tech fabrication methodologies that allow for the construction of parametrically designed nonstandard modular cast panels. Such an approach adopts a computational design framework using a single low-tech and low-energy fabrication device to create nonrepetitive volumetric panels cast in situ. The design input for these panels is derived from design preferences and environmental control data. The technique expands upon easy to fabricate and cast methods, targeting less-developed logistical settings worldwide, and thus responding to imminent needs related to climate, available resources, and the economy.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_043
id	caadria2020_043
authors	Bai, Nan, Nourian, Pirouz, Xie, Anping and Pereira Roders, Ana
year	2020
title	Towards a Finer Heritage Management - Evaluating the Tourism Carrying Capacity using an Agent-Based Model
doi	https://doi.org/10.52842/conf.caadria.2020.1.305
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 305-314
summary	As one of the most important areas in the Palace Museum, Beijing, China, the Hall of Mental Cultivation had suffered from overcrowding of visitors before it was closed in 2016 for conservation. Preparing for the reopening in 2020, the Palace Museum decided to take the chance and initiate finer-grained tourism management in the Hall. This research intends to provide an audio-guided touring program by dynamically evaluating the Tourism Carrying Capacity (TCC) with the highlight spots in the Hall, to operate the touring program spatiotemporally. Framing an optimization problem for the touring program, an agent-based simulator, Thunderhead Pathfinder, originally developed for evacuation in the emergency, is utilized to verify the performance of the touring system. The simulation shows that the proposed touring program could precisely fit all the key requirements to improve the visitors' experience, to guarantee heritage safety, and to ensure more efficient management.
keywords	Tourism Carrying Capacity; Agent-Based Simulation; Operations Research; Heritage Management
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia20_120
id	acadia20_120
authors	Barsan-Pipu, Claudiu; Sleiman, Nathalie; Moldovan, Theodor
year	2020
title	Affective Computing for Generating Virtual Procedural Environments Using Game Technologies
doi	https://doi.org/10.52842/conf.acadia.2020.2.120
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 120-129.
summary	Architects have long sought to create spaces that can relate to or even induce specific emotional conditions in their users, such as states of relaxation or engagement. Dynamic or calming qualities were given to these spaces by controlling form, perspective, lighting, color, and materiality. The actual impact of these complex design decisions has been challenging to assess, from both quantitative and qualitative standpoints, because neural empathic responses, defined in this paper by feature indexes (FIs) and mind indexes (MIs), are highly subjective experiences. Recent advances in the fields of virtual procedural environments (VPEs) and virtual reality (VR), supported by powerful game engine (GE) technologies, provide computational designers with a new set of design instruments that, when combined with brain-computing interfacing (BCI) and eye-tracking (E-T) hardware, can be used to assess complex empathic reactions. As the COVID-19 health crisis showed, virtual social interaction becomes increasingly relevant, and the social catalytic potential of VPEs can open new design possibilities. The research presented in this paper introduces the cyber-physical design of such an affective computing system. It focuses on how relevant empathic data can be acquired in real time by exposing subjects within a dynamic VR-based VPE and assessing their emotional responses while controlling the actual generative parameters via a live feedback loop. A combination of VR, BCI, and E-T solutions integrated within a GE is proposed and discussed. By using a VPE inside a BCI system that can be accurately correlated with E-T, this paper proposes to identify potential morphological and lighting factors that either alone or combined can have an empathic effect expressed by the relevant responses of the MIs.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_74
id	acadia20_74
authors	Bucklin, Oliver; Born, Larissa; Körner, Axel; Suzuki, Seiichi; Vasey, Lauren; T. Gresser, Götz; Knippers, Jan; Menges,
year	2020
title	Embedded Sensing and Control
doi	https://doi.org/10.52842/conf.acadia.2020.1.074
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 74-83.
summary	This paper investigates an interactive and adaptive control system for kinetic architectural applications with a distributed sensing and actuation network to control modular fiber-reinforced composite components. The aim of the project was to control the actuation of a foldable lightweight structure to generate programmatic changes. A server parses input commands and geometric feedback from embedded sensors and online data to drive physical actuation and generate a digital twin for real-time monitoring. Physical components are origami-like folding plates of glass and carbon-fiber-reinforced plastic, developed in parallel research. Accelerometer data is analyzed to determine component geometry. A component controller drives actuators to maintain or move towards desired positions. Touch sensors embedded within the material allow direct control, and an online user interface provides high-level kinematic goals to the system. A hierarchical control system parses various inputs and determines actuation based on safety protocols and prioritization algorithms. Development includes hardware and software to enable modular expansion. This research demonstrates strategies for embedded networks in interactive kinematic structures and opens the door for deeper investigations such as artificial intelligence in control algorithms, material computation, as well as real-time modeling and simulation of structural systems.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_387
id	caadria2020_387
authors	Chien, Sheng-Fen, Lin, Chieh-I and Lin, Kuan-Ling
year	2020
title	A Light-weight CAAD-VR Bridge
doi	https://doi.org/10.52842/conf.caadria.2020.1.761
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 761-770
summary	Virtual Reality (VR) has been proven an effective media for design communications. VR-enabled design environments allow laypersons to join in various stages of design process and achieve a wide range of participatory designs. However, most of these environments are developed for research purposes and not easily accessible to architects. This research aims to bridge the gap of VR hardware and design software to make VR easily accessible to architects. We develop a set of 4 use cases for implementing VR-enabled design environment: (1) Export Design Elements to VR; (2) Authorizing VR co-design environment; (3) Design Manipulation in VR; and (4) Output VR Objects to CAAD. A prototype has been implemented using HTC Vive and Unity to test these use cases. The data exchange between VR environment and CAAD environment is achieved through the JSON format. The prototype is tested by students in a graduate-level design studio with promising results.
keywords	Virtual Reality; VR; VR-enabled CAAD; Use Case; JSON
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_446
id	caadria2020_446
authors	Cho, Dahngyu, Kim, Jinsung, Shin, Eunseo, Choi, Jungsik and Lee, Jin-Kook
year	2020
title	Recognizing Architectural Objects in Floor-plan Drawings Using Deep-learning Style-transfer Algorithms
doi	https://doi.org/10.52842/conf.caadria.2020.2.717
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 717-725
summary	This paper describes an approach of recognizing floor plans by assorting essential objects of the plan using deep-learning based style transfer algorithms. Previously, the recognition of floor plans in the design and remodeling phase was labor-intensive, requiring expert-dependent and manual interpretation. For a computer to take in the imaged architectural plan information, the symbols in the plan must be understood. However, the computer has difficulty in extracting information directly from the preexisting plans due to the different conditions of the plans. The goal is to change the preexisting plans to an integrated format to improve the readability by transferring their style into a comprehensible way using Conditional Generative Adversarial Networks (cGAN). About 100-floor plans were used for the dataset which was previously constructed by the Ministry of Land, Infrastructure, and Transport of Korea. The proposed approach has such two steps: (1) to define the important objects contained in the floor plan which needs to be extracted and (2) to use the defined objects as training input data for the cGAN style transfer model. In this paper, wall, door, and window objects were selected as the target for extraction. The preexisting floor plans would be segmented into each part, altered into a consistent format which would then contribute to automatically extracting information for further utilization.
keywords	Architectural objects; floor plan recognition; deep-learning; style-transfer
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2020_608
id	sigradi2020_608
authors	Costa, Eduardo; Duarte, José; Bilén, Sven G.
year	2020
title	Robotic Apprentices: Leveraging Augmented Reality for Robot Training in Manufacturing Automation
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 608-614
summary	In the scope of Industry 4.0, a framework is proposed to leverage the potential of articulating Augmented Reality and Robotic Manufacturing in the construction industry. The objective of such framework is to enable robots to learn how to perform tasks using direct interaction with human operators. As a first step, we established a connection between a robot and its trainer— or controller—in which the robot mirrors the operator’s actions. Augmented Reality hardware is used for capturing the trainer’s gestures and the surrounding environment. A digital tool was implemented using Grasshopper and additional plugins to control the process.
keywords	Augmented reality, Robotic arm, Programming by demonstration, Human–Robot Collaboration, Industry 4.0
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	acadia20_564
id	acadia20_564
authors	Cutajar, Sacha; Costalonga Martins, Vanessa; van der Hoven, Christo; Baszyñski, Piotr; Dahy, Hanaa
year	2020
title	Towards Modular Natural Fiber-Reinforced Polymer Architecture
doi	https://doi.org/10.52842/conf.acadia.2020.1.564
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 564-573.
summary	Driven by the ecological crisis looming over the 21st century, the construction sector must urgently seek alternative design solutions to current building practices. In the wake of emergent digital technologies and novel material strategies, this research proposes a lightweight architectural solution using natural fiber-reinforced polymers (NFRP), which elicit interest for their inherent renewability as compared to high-performance yarns. Two associated fabrication techniques are deployed: tailored fiber placement (TFP) and coreless filament winding (CFW), both favored for their additive efficiencies granted by strategic material placement. A hypothesis is formed, postulating that their combination can leverage the standalone complexities of molds and frames by integrating them as active structural elements. Consequently, the TFP enables the creation of a 2D stiffness-controlled preform to be bent into a permanent scaffold for winding rigid 3D fiber bodies via CFW. A proof of concept is generated via the small-scale prototyping and testing of a stool, with results yielding a design of 1 kg capable of carrying 100 times its weight. Laying the groundwork for a scaled-up architectural proposal, the prototype instigates alterations to the process, most notably the favoring of a modular global design and lapped preform technique. The research concludes with a discussion on the resulting techno-implications for automation, deployment, material life cycle, and aesthetics, rekindling optimism towards future sustainable practices.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2022_368
id	ecaade2022_368
authors	Das, Avishek, Brunsgaard, Camilla and Madsen, Claus Brondgaard
year	2022
title	Understanding the AR-VR Based Architectural Design Workflow among Selected Danish Architecture Practices
doi	https://doi.org/10.52842/conf.ecaade.2022.1.381
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 381–388
summary	Virtual reality (VR) and augmented reality (AR) have been proposed to be additional architectural design mediums for at least 25 years (Dagit, 1993). Despite rapid technical and technological development, it has not been adopted into architectural design practices as compared to academia and research. Surveys from the American Institute of Architects (AIA) and Royal Institutes of British Architects (RIBA) demonstrate the state of architectural practices; 72% of architects and 65% of architects respectively are not using any kind of virtual, augmented, or mixed reality in their practices(RIBA and Microsoft, 2018; Hampson, 2020). In this paper, the authors investigate the state of practices, issues, challenges, and opportunities of the utilization of virtual, augmented, and mixed realities in six architectural practices in the Danish context. Three of the practices are large architectural practices, one medium-sized practice specializing in institutional, healthcare and cultural architecture, and one firm designing private family houses, kindergartens, daycares and places for people with disability and, one experimental design studio. All these practices have used VR/AR in their projects to various degrees. In recent years Danish architectural practices have been involved in various VR/AR-based exhibitions, demonstrations, and tool developments to promote the usage of the same in design practice. Through a set of qualitative interviews with personnel from key architectural practices, the authors would like to demonstrate the present state of practices. The investigation explores the usage of VR and AR in Danish architecture practices by identifying challenges and opportunities regarding skill levels, architectural typology, use cases, toolchains, and workflow and shows similarities and differences between traditional and VR-based design processes. The main findings show how VR/AR-based visualization helps architects to perceive spatiality and also ushers creativity through immersion and overlays.
keywords	Virtual Reality, Augmented Reality, Architectural Design Practice, Denmark
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2020_314
id	ecaade2020_314
authors	Das, Avishek, Worre Foged, Isak and Jensen, Mads Brath
year	2020
title	Designing with a Robot - Interactive methods for brick wall design using computer vision
doi	https://doi.org/10.52842/conf.ecaade.2020.2.605
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 605-612
summary	The deterministic and linear nature of robotic processes in architectural construction often allows no or very little adjustments during the fabrication process. If any need for modification arise the process is usually interrupted, changes are accommodated, and the process is resumed or restarted. The rigidity in this fabrication process leaves little room for creative intervention and human activities and robotic process are often considered as two segregated processes.The paper will present and discuss the methodological and design challenges of interactive robotic fabrication of brickwork with an industrial robotic arm, a webcam and bricks with varying color tones. Emphasis will be on the integration of external computer vision libraries within Rhino Grasshopper to augment the interactive robotic process. The paper will describe and demonstrate a framework comprising (1) robotic pick and place, material selection and evaluation using computer vision, (2) interactive robotic actuation and (3) the role of human input during a probabilistic fabrication-based design process.
keywords	interactive robotic fabrication; human robot collaboration; computer vision; masonry; machine learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2020_116
id	ecaade2020_116
authors	Firth, Charlotte, Dunn, Kate and Haeusler, M.Hank
year	2020
title	Design Process for a Soft Flexible Palm - Improving grasp strength in an anthropomorphic end effector for collaborative robots in construction
doi	https://doi.org/10.52842/conf.ecaade.2020.2.423
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 423-432
summary	This paper describes an iterative design process to create an anthropomorphic end-effector for a collaborative robot in construction. The focus is on improving the palm or juncture of the handlike end effector. Anthropomorphic end effectors typically have stiff, rigid palms that only provide support to the fingers rather than being an active part of the end effector. This research contributes to new knowledge through a detailed investigation of the role the palm has in improving the grip strength and control. This control and strength is essential for operating tools commonly used on construction sites. Consequently, the paper asks the question and investigates if a flexible palm could provide added support and grip for end effectors needed for complex processes.Via an action-based research method, the paper uses soft robotic techniques to experiment with a range of pneumatic iterative solutions to create a functioning palm, inspired by the human hand. The resulting end effector will aim to mimic the behaviours of the human hand.This investigation, its proposed hypothesis, methodology, implications, significance and evaluation are presented in the paper.
keywords	End Effector; Hybrid Tools; Soft Robotics; Anthropomorphic
series	eCAADe
email
last changed	2022/06/07 07:50

_id	sigradi2020_52
id	sigradi2020_52
authors	Hadi, Khatereh; Gomez, Paula; Swarts, Matthew; Marshall, Tyrone; Bernal, Marcelo
year	2020
title	Healthcare Design Metrics for Human-Centric Building Analytics
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 52-59
summary	Healthcare design practice has shown increasing interest in the assessment of design alternatives from a human-centered approach, focusing on organizational performance, patient health, and wellness outcomes, in addition to building performance. The goal of this research is to advance building analytics by identifying, defining and implementing computational human-centered design metrics. The knowledge is extracted from an exhaustive literature review in the field of evidence-based design (EBD), which has studied the associations between building features and the occupants’ outcomes but has not yet consolidated the findings into metrics and implications for design practice in a systematic manner. In consultation with industry experts, we have prioritized the evaluation aspects and developed a weighted evaluation framework for assessment of various design options. The developed metrics that input building parameters and output potential health and performance outcomes are implemented in a a parametric environment utilizing add-ons accordingly, and using an ambulatory clinic designed by Perkins&Will as a case study.
keywords	Building analytics, Healthcare design, Design metrics, Human-centered analytics
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	artificial_intellicence2019_207
id	artificial_intellicence2019_207
authors	Hao Zheng
year	2020
title	Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_13
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2025)
summary	3D Graphic Statics (3DGS) is a geometry-based structural design and analysis method, helping designers to generate 3D polyhedral forms by manipulating force diagrams with given boundary conditions. By subdividing 3D force diagrams with different rules, a variety of forms can be generated, resulting in more members with shorter lengths and richer overall complexity in forms. However, it is hard to evaluate the preference toward different forms from the aspect of aesthetics, especially for a specific architect with his own scene of beauty and taste of forms. Therefore, this article proposes a method to quantify the design preference of forms using machine learning and find the form with the highest score based on the result of the preference test from the architect. A dataset of forms was firstly generated, then the architect was asked to keep picking a favorite form from a set of forms several times in order to record the preference. After being trained with the test result, the neural network can evaluate a new inputted form with a score from 0 to 1, indicating the predicted preference of the architect, showing the possibility of using machine learning to quantitatively evaluate personal design taste.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	caadria2020_444
id	caadria2020_444
authors	Higgs, Baptiste and Doherty, Ben
year	2020
title	Sanitary Sanity: Evaluating Privacy Preserving Machine Learning Methods for Post-occupancy Evaluation
doi	https://doi.org/10.52842/conf.caadria.2020.2.697
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 697-706
summary	Traditional post-occupancy evaluation (POE) of building performance has typically privileged physical building attributes over human behavioural data. This is due to a lack of capability and is especially the case for private spaces such as Sanitary Facilities (SFs). A privacy-preserving sensor-based system using Machine Learning (ML) was previously developed, however it was limited to basic body position classification. Yet, SF usage behaviour can be significantly more complex. This research accordingly builds on the aforementioned work to expand behavioural classifications using a sensor-based ML system. Specifically, the case study uses a GridEYE thermal sensor array, which is trained on a cubicle location within a workplace SF. A variety of ML algorithms are then evaluated on their behaviour-classifying ability. A detailed analysis of behaviour-classification performance is then provided. A system with greater fidelity is thus demonstrated, albeit hampered by imprecise behaviour definitions. Regardless, this contributes to the capability of the broader field of research that is investigating Evidence Based Design (EBD) by extending the ability to examine human behaviour, especially in private spaces. This further contributes to the growing body of work surrounding SF provision.
keywords	EBD; Data; Internet of Things; Machine Learning; Post Occupancy Evaluation
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2020_222
id	ecaade2020_222
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.271
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 271-278
summary	Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords	Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series	eCAADe
email
last changed	2022/06/07 07:50

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