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	acadia22_244
id	acadia22_244
authors	Dunaway, Davis; Rothbart, Dan; Gwinn, Layton; King, Nathan; Stuart-Smith, Robert
year	2022
title	Introducing Bespoke Properties to Slip-Cast Elements
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 244-255.
summary	This research explores a novel technique for creating bespoke, slip-cast artifacts through the use of 6-axis robotic motion. By incrementally injecting different amounts of colored slip into the mold while it is rotated, we are able to achieve variable color, pattern, and structure. Because of the highly precise nature of the robotic motion, this variation can be repeated with a high degree of accuracy. In addition, the incremental injection of slip also allows us to achieve a full cast with a minimal amount of slip, removing the draining process of traditional slip casting entirely. The level of control this process might give a designer is explored through a series of tetrahedral components that demonstrate the types of marbling that can be achieved.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	cdrf2022_527
id	cdrf2022_527
authors	Xiang Wang, Yang Li, Ziqi Zhou, Xueyuan Lv, Philip F. Yuan, Lei Chen
year	2022
title	Levelling Calibration and Intelligent Real-Time Monitoring of the Assembly Process of a DfD-Based Prefabricated Structure Using a Motion Capture System
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_45
summary	Conventional measuring techniques and equipment such as the level and total-station are commonly used in on-site construction to measure the position of building elements. However, a motion capture system can measure the dynamic 3D movements of markers attached to any target structure with high accuracy and high sampling rate. Considering the characteristics of prefabricated structures that is composed by lot of discrete building elements, advanced requirements for the on-site assembly monitoring is required. This paper introduces an innovative real-time monitoring technique for the DfD-based (Design for Disassembly) structure with the application of motion capture system and other hardware in an IoT-based BIM system. The design and construction method of the structure system, on-site setup of monitoring system and hardware, data acquisition and analysis method, calibration algorithm as well as the BIM system are further illustrated in the paper. The proposed method is finally applied in a real building project that is composed by thousand discrete building elements and covers a large area of 5025 m. As demonstrator, such monitoring system is applied in the real construction of a DfD-based prefabricated steel structure in the “Water Cube” (Chinese National Aquatics Centre) in Beijing. The building process is successfully recorded and displayed on-site with the digital twin model in the BIM system. The construction states of the building elements are gathered with different kind of IoT techniques such as the RfID chips and QR-Codes. With the demand to control the flatness tolerance within 6 mm (within a 2550 m area), a large area monitoring system was applied in the project and finally reduced the construction time within 20 days. The final tolerance is verified and further discussed2.
series	cdrf
email
last changed	2024/05/29 14:03

_id	cdrf2022_89
id	cdrf2022_89
authors	Alberto Fernández González
year	2022
title	Cellular Automata, Memory and Intelligence
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_8
summary	Understanding memory as the faculty by which a system stores and remembers information from the past to a new purpose with shapes that are emerging as “collective designs"(a repository of built information), this research works with the demonstration in how CA can generate a trace of its existence as memory based on the activation and deactivation of the discrete system in which grows, like a footprint in the affected area of intervention, improving a “stigmergic operation” in the field, conditioning the following steps in the collaborative growing of this basal structure. Based on sets of digital experiments, a set of CA using Langton Ants generates different solutions based on the activation and deactivation of rules according to information coming from patterns, creating spatial solutions that deal with built memory three-dimensional emergent structures.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_478
id	cdrf2022_478
authors	Andrea Macruz, Mirko Daneluzzo, and Hind Tawaku
year	2022
title	Performative Ornament: Enhancing Humidity and Light Levels for Plants in Multispecies Design
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_41
summary	The paper shifts the design conversation from a human-centered design methodology to a posthuman design, considering human and nonhuman actors. It asks how designers can incorporate a multispecies approach to creating greater intelligence and performance projects. To illustrate this, we describe a project of “ornaments” for plants, culminating from a course in an academic setting. The project methodology starts with “Thing Ethnography” analyzing the movement of a water bottle inside a house and its interaction with different objects. The relationship between water and plant was chosen to be further developed, considering water as a material to increase environmental humidity for the plant and brightness through light reflectance and refraction. 3D printed biomimetic structures as supports for water droplets were designed according to their performance and placed in different arrangements around the plant itself. Humidity levels and illuminance of the structures were measured. Ultimately, this created a new approach for working with plants and mass customization. The paper discusses the resultant evidence-based design and environmental values.
series	cdrf
email
last changed	2024/05/29 14:03

_id	ijac202220101
id	ijac202220101
authors	Bao, Ding Wen; Xin Yan, Yi Min Xie
year	2022
title	Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 7–17
summary	Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collab- oration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
keywords	Swarm intelligence, multi-agent, bi-directional evolutionary structural optimisation (BESO), intricate architectural form, efficient structure
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_201
id	ecaade2022_201
authors	Buš, Peter, Sridhar, Nivedita, Zhao, Yige, Yang, Chia-Wei, Chen, Chenrui and Canga, Darwin
year	2022
title	Kit-of-Parts Fabrication and Construction Strategy of Timber Roof Structure - Digital design-to-production workflow for self-builders
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. 449–458
doi	https://doi.org/10.52842/conf.ecaade.2022.1.449
summary	This project builds upon a premise that complex double-curved geometries can be built out of simple, planar, and straight elements. As such, it is possible to simplify manufacturing, construction, and assembly processes, as well as decrease the delivery time and cost. When operating with planar and simple components in the form of Kit-of- Parts there is an assumption that such components can be easily used by self-builders, not necessarily building experts. This can empower participatory activities leading to a more sustainable and resilient engaged community. This hypothesis is evaluated through the process of design for manufacture and assembly project of the timber shell, supported by proposed advanced computational design-to-production workflow utilising digital fabrication technologies such as CNC machining and robotic milling. The assembled and erected structure is evaluated in the scope of constructability, deliverability, and operability. Therefore, the focus of this project is to test, observe, experiment with, and learn from those aspects from the perspective of a fabricator, maker, and self-builder of the double-curved timber roof structure, while operating with smaller-scale components and smaller sub-assemblies, convenient for hands-on operations. The paper also discusses the limitations of such an approach.
keywords	Design-to-Production Workflow, Robotic Digital Fabrication, Self-Builders, Structural Performance, Advanced Labelling
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_245
id	caadria2022_245
authors	Chai, Hua, Guo, Zhixian, Wagner, Hans Jakob, Stark, Tim, Menges, Achim and Yuan, Philip F.
year	2022
title	In-Situ Robotic Fabrication of Spatial Glulam Structures
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 41-50
doi	https://doi.org/10.52842/conf.caadria.2022.2.041
summary	While current approaches in timber construction stress the advantages of off-site prefabrication, glued laminated timber(glulam) structures is limited to the constraints of standardized, prefabricated mostly linear elements, which also lends itself only to building typologies that offer an increased level of standardization and regularity. The design freedom of timber structures is incomparable to that of reinforced concrete structures, which mostly gains from the in-situ fabrication process. An in-situ robotic timber fabrication platform allows the on-site construction of glulam structures with highly differentiated networks of beams composed of robotically assembled discrete linear elements. Based on the possibilities of such mobile robotic fabrication process, this paper explores novel architectural typologies of spatial glulam structures. The research is conducted from several aspects including joint tectonics, design method, and robotic fabrication process. A large-scale pavilion is designed and fabricated to verify the feasibility of the proposed system. This research could provide a novel mode of in-situ robotic timber fabrication and corresponding glulam structure system for timber construction.
keywords	Mobile Robot, Timber Structure, In-situ Fabrication, Computational Design, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_242
id	caadria2022_242
authors	Cheng, Chung-Chieh, Sheng, Yu-Ting and Wang, Shih-Yuan
year	2022
title	Robotic Fabrication Process of Glued Laminated Bamboo for Material Efficient Construction
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 213-222
doi	https://doi.org/10.52842/conf.caadria.2022.2.213
summary	This paper aims to introduce the development of a new-style glue-laminated bamboo (GLB) board structure and evaluating computational technologies aiming to enhance the performance of fibre materials and a set of digital manufacturing processes. Specifically, this paper develops a method to introduce the concept of topology optimisation into the properties of fibre materials. At the same time, it explains the unique structure optimisation design and manufacturing process (including the design process, digital tools and auxiliary equipment system). To test the design, this paper compares the data obtained via the gravity suspension test of the physical model and the simulation. Through digital manufacturing methods, the project aims to establish structural elements that could improve material efficiency. Furthermore, it may establish a GLB floor structure system in line with the material economy.
keywords	Digital fabrication, Robotic Assembly, Glued Laminate Bamboo, SDG 11, SDG 12, SDG 15
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_299
id	caadria2022_299
authors	Cui, Qiang, Zhang, Huikai, Pawar, Siddharth Suhas, Yu, Chuan, Feng, Xiqiao and Qiu, Song
year	2022
title	Topology Optimization for 3D-Printable Large-Scale Metallic Hollow Structures With Self-Supporting
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 101-110
doi	https://doi.org/10.52842/conf.caadria.2022.2.101
summary	Design for Additive Manufacturing (DfAM), is a one of the most commonly used and foundational techniques used in the development of new products, and particularly those that involve large-scale metallic structures composed of hollow components. One such AM technique is Wire Arc Additive Manufacturing (WAAM), which is the application of robotic welding technology applied to Additive Manufacturing. Due to the lack of a simple method to describe the fabricating constraint of WAAM and the complex hollow morphology, which difficultly deploys topology optimization structural techniques that use WAAM. In this paper, we develop a design strategy that unifies ground-structure optimization method with generative design that considers the features of hollow components, WAAM overhang angle limits and manufacturing thickness limits. The method is unique in that the user can interact with the design results, make changes to parameters, and alter the design based on the user‚s aesthetic or specific manufacturing setup needs. We deploy the method in the design and 3D printing of an optimized Electric Vehicle Chassis and successfully test in under different loading conditions.
keywords	Topology optimization, Generative design, Self-supporting, Hollow structures, Metallic 3D printing, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_488
id	caadria2022_488
authors	Guo, Zhe, Zhang, Zihuan and Li, Ce
year	2022
title	Robotic Carving Craft, Research on the Application of Robotic Carving Technology in the Inheritance of Tradition-Al Carving Craft
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 747-756
doi	https://doi.org/10.52842/conf.caadria.2022.1.747
summary	In order to realize the inheritance of handicraft skills via digital fabrication technique, so as to preserve the traditional construction culture, this paper discusses a method of control industrial robot (six-axis KUKA kr-60 robotic arm) simulate carving craftsmen working process and explores the relationship between carving posture and different clay states. This paper starts with discussion with cultural heritage in the background of digital tools application. Next, a method to determine the pose of robotic arm by giving the angle value of the six axis is applied in the subsequent carving experimental research, which can make the robotic arm have a smoother and reasonable motion performance by disable the redundant axis movement of the robotic arm when adjusting those poses. Then, a series of carving experiments has been carried out to explore the connection between robotic movement and carved detail, together with a carving path arrangement method that allow for specific carved lines caused by given axis value. This research shows the possibility to create complex form through defining robot movement, which could fundamentally make robot manufacturing a new formal meaning.
keywords	Clay Carving, Robotic Arm Control, Crafts Inheritance, Form Algorithm, SDG 8
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia23_v2_340
id	acadia23_v2_340
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	Augmented Reality Assisted Robotic: Tube Bending
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-9-8]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary	The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series	ACADIA
type	paper
email
last changed	2024/04/17 13:59

_id	cdrf2022_514
id	cdrf2022_514
authors	Jiaxiang Luo, Tianyi Gao, and Philip F. Yuan
year	2022
title	Fabrication of Reinforced 3D Concrete Printing Formwork
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_44
summary	In recent years, the emerging 3D printing concrete technology has been proved to be an effective and intelligent strategy compared with conventional casting concrete construction. Due to the principle of additive manufacturing strategy, this concrete extrusion technique creates great opportunities for designing freeform geometries for surface decoration since this material has a promising performance of high compressive strength, low deformation, and excellent durability. However, the structure behavior is usually questioned, defined by the thickness and printing path. At the same time, the experiments for using 3D printing elements for structural and functional parts are still insufficient. Little investigation has been made into developing reinforcement strategies compatible with 3D printing concrete. In fact, conventional formwork and easy-to-install reinforcement support structures have various advantages in terms of labor costs but can hardly be reused. Thus, using 3D concrete printing as formwork for projects in different scales is an effective solution in the mass customized prefabrication era. Considering large-scale projects, the demand to provide concrete formwork with a proper reinforcement strategy for better toughness, flexibility, and strength is necessary. In this paper, we proposed different off-site reinforced 3D printing concrete strategies and evaluated them from time and material cost, deviation, and accessibility of fabrication.
series	cdrf
email
last changed	2024/05/29 14:03

_id	ecaade2022_138
id	ecaade2022_138
authors	Kycia, Agata, Rossi, Andrea, Hugo, Jörg, Jünger, Konrad, Sauer, Christiane and Krüger, Nils
year	2022
title	Felt and Fold - Design and manufacturing of customized nonwovens through robotic needle felting
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. 195–204
doi	https://doi.org/10.52842/conf.ecaade.2022.1.195
summary	This paper explores the potential of robotic needle felting for customized production of nonwoven textiles and their architectural applications. The possibility to program the robotic movement and locally control fiber density and distribution allows the design of nonwoven, heterogeneous materials with graded properties not by differentiating their chemical composition, but rather controlling their mechanical structure. We propose a parametric design and fabrication workflow relying on a 6-axis robotic arm. We describe design techniques for the generation of felted surfaces with varying material properties and their translation to instructions for robotic felting, as well as the physical fabrication setup. Within our research, the ability to locally differentiate material properties is further explored to create three-dimensional folding behaviors. We study how fiber densities affect their folding ability and geometry, examine qualities of resulting edges, analyze how they affect folding and finally design targeted folded structures by informing the felting pattern. While robotic felting has not yet found significant applications in architecture, the designs and prototypes demonstrate its potential in the architectural context, as it suggests new solutions for recyclable, circular building components or surfaces.
keywords	Robotic Needle Felting, Graded Nonwovens, Folding, Heterogeneous Materials
series	eCAADe
email
last changed	2024/04/22 07:10

_id	cdrf2022_244
id	cdrf2022_244
authors	Miric Ljubica
year	2022
title	Collective Intelligence and Effects of Anticipation
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_21
summary	Based on the extrapolation of contemporary theories that mind is a prediction machine, this paper points out the repetitive nature of the prediction parameters of collective intelligence anticipation scenarios and questions the hybridity of fears and desires regarding the evolution of artificial intelligence. Through the analysis of mnemonic principles of remembrance it combines the ancient technique of the art of memory with the contemporary views on the dynamics of perceptions in order to establish a link between the spatial constructs and their rapid expansion through the presence of the digital medium while in parallel suggesting an approach to the integration of the necessity for a more sophisticated systems of artificial intelligence into the collective intelligence. The main question of this paper is whether the anticipation of the future results in the creation of such a future, can a prediction-based interaction between man and machine govern its outcome? In order to attempt to develop potential new methods of integrating an idea of a different, more neutral outcome, the focus will be on the characteristics of perception that surpass the influenced, emotional response, and the observation of the general, innate human mechanisms of alignment. Through the study of the principles of memory the aim of this paper is to ask whether the individual comprehension of space and time as disengaged in given examples can in fact produce a system of ideas compatible in its nature to that of the machine itself. What are the main aspects of both human and machine that would stem their hybridity, and how should the collective intelligence adapt to enable the interlink?
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_284
id	cdrf2022_284
authors	Ralph Spencer Steenblik
year	2022
title	Developing a Hybrid Intelligence Through Hacking the Machine Learning Neural Style Transfer Process for Possible Futures
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_25
summary	This article highlights work using machine learning in collaboration with designers for speculative world building. The process is unique because of the feedback loop, between the designer and the computational process. Worldbuilding is a speculative practice and requires vision and courage on the part of the designer. Working with machine learning neural style transfer (NST) allows the designers to consider possibilities humanity may not otherwise allow ourselves to imagine. This is important because human imagination paves the path for the future of humankind. Imagining a sustainable future requires considering unconventional solutions. Imagining non-probable futures allows humanity to glean desirable aspects to strive for. Even if a conceived future is impossible within the built environment, there are many opportunities for people to inhabit these environments virtually. Letting yourself get lost in these places is a form of travel, even when conditions limit one's ability to physically do so.
series	cdrf
email
last changed	2024/05/29 14:02

_id	acadia22_346
id	acadia22_346
authors	Rossi, Gabriella; Chiujdea, Ruxandra-Stefania; Hochegger, Laura; Lharchi, Ayoub; Nicholas, Paul; Tamke, Martin; Ramsgaard Thomsen, Mette
year	2022
title	Integrated Design Strategies for Multi-scalar Biopolymer Robotic 3D Printing
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 346-355.
summary	In this paper we present strategies and workflows for cellulose-based biopolymer 3D printing. We propose a digital design framework informed by the fabrication system and guided through human design input. The workflow stabilizes the material at the scale of the toolpath, the component, and the wall assembly, by integrating joinery and cross-bracing together with the component geometry. We showcase the feasibility of a large-scale dry-assembly of 3D printed biopolymer components. The demonstrator wall allows us to evaluate our workflows and discuss the challenges and implication of bringing biomaterials in our built environment.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	acadia23_v1_220
id	acadia23_v1_220
authors	Ruan, Daniel; Adel, Arash
year	2023
title	Robotic Fabrication of Nail Laminated Timber: A Case Study Exhibition
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 220-225.
summary	Previous research projects (Adel, Agustynowicz, and Wehrle 2021; Adel Ahmadian 2020; Craney and Adel 2020; Adel et al. 2018; Apolinarska et al. 2016; Helm et al. 2017; Willmann et al. 2015; Oesterle 2009) have explored the use of comprehensive digital design-to-fabrication workflows for the construction of nonstandard timber structures employing robotic assembly technologies. More recently, the Robotically Fabricated Structure (RFS), a bespoke outdoor timber pavilion, demonstrated the potential for highly articulated timber architecture using short timber elements and human-robot collaborative assembly (HRCA) (Adel 2022). In the developed HRCA process, a human operator and a human fabricator work alongside industrial robotic arms in a shared working environment, enabling collaborative fabrication approaches. Building upon this research, we present an exploration adapting HRCA to nail-laminated timber (NLT) fabrication, demonstrated through a case study exhibition (Figures 1 and 2).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	acadia22_598
id	acadia22_598
authors	Shen, Yang-Ting; Wang, Mi-Chi; Huang, Lien-Kai; Gao, You-Min; Yen, Chia-Chin
year	2022
title	The Reproduction of Chinese Traditional Timber Structure
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 598-603.
summary	In Chinese traditional timber building, “Dou-gong” stands as one of the most distinctive features to present the Chinese structure style. However, the preservation and reproduction of Dou-gong face difficulties due to the withering craftsman issue. This paper proposes a method to digitize the structure into BIM (building information modeling) and reproduce it via robot-based fabrication. By modeling these Dou-gong components with BIM technologies, we can establish a geometrical and non-geometrical 3D database. Then we use Autodesk Fusion and Grasshopper to design the robotic fabrication information whose information is transferred from 3D database models. Based on the fabrication information, including work paths and tool parameters, the KUKA robotic arm with six axes can precisely mill the wood materials into Dou-gong components without any traditional craftsman’s processing.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	sigradi2022_30
id	sigradi2022_30
authors	Song, Yang; Koeck, Richard; Agkathidis, Asterios
year	2022
title	Augmented Bricklayer: an augmented human-robot collaboration method for the robotic assembly of masonry structures
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 713–724
summary	The Augmented Bricklayer research project proposes a new augmented human-robot collaboration method for the robotic assembly of masonry structures. It aims to resolve the conventional limitations of the robotic bricklaying process by incorporating object recognition and Augmented Reality (AR) technologies. Towards this aim, we present a human-robot collaboration method consisting of two phases: a) the object recognition phase, in which bricks are recognized by a point cloud scanning sensor and analyzed by our calibration system as a feeding object for the robotic gripper to pick; b) the augmented human-robot collaboration phase, in which the masonry adhesive is being applied manually assisted by AR holographic guidance and gets assembled by an AR-assisted robotic operation method. The validation of our method is achieved with the robotic assembly of two real-scale building elements, a masonry column and a wall. Our findings highlight a more flexible, efficient, and convenient AR-assisted human-robot collaboration bricklaying method capable of dealing with complex on-site construction requirements.
keywords	Mixed Realities (Augmented Reality), Object Recognition, Human-robot Collaboration, Robotic Assembly, Masonry Structures
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	caadria2022_275
id	caadria2022_275
authors	Sukegawa, Chika, Khajehee, Arastoo, Kawakami, Takuma, Someya, Syunsuke, Hirano, Yuji, Shibuya, Masako, Ito, Koki, Watanabe, Yoshiaki, Wang, Qiang, Inaba, Tooru, Lee, Alric, Hotta, Kensuke, Miyaguchi, Mikita and Ikeda, Yasushi
year	2022
title	Smart Hand for Digital Twin Timber Work -The interactive procedural scanning by industrial arm robot
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 131-140
doi	https://doi.org/10.52842/conf.caadria.2022.2.131
summary	This paper describes a 3D automated scanning method for building materials, namely "The Interactive Procedural Scanning‚, in a collaborative environment composed of a human worker and a CNC robot. This procedure aims to translate the observation skill of an experienced carpenter into an intelligent robotic system. The system frames its function on the first stage of a traditional timber examination process, called ‚Kidori‚, in which observations and findings are marked on the timber surface to provide hints for the subsequent cutting process. This paper aims to recreate the procedures using an industrial robotic arm, computer vision, and a human worker. A digital twin model of the timber is created with a depth camera serving as a base map to exchange information and receive instruction from the human worker. The margin of a discrepancy between the original processing location and the location of the actual end effector, where the tools are, is minimised in this system.
keywords	3D scanning, computer vision, traditional technique, phycology, machine learning, SDG 9
series	CAADRIA
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last changed	2022/07/22 07:34

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