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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Reformat results as: short short into frame detailed detailed into frame

_id	caadria2021_124
id	caadria2021_124
authors	Leung, Pok Yin Victor, Apolinarska, Aleksandra Anna, Tanadini, Davide, Gramazio, Fabio and Kohler, Matthias
year	2021
title	Automatic Assembly of Jointed Timber Structure using Distributed Robotic Clamps
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 583-592
doi	https://doi.org/10.52842/conf.caadria.2021.1.583
summary	This paper presents a novel robotic assembly method for timber structures with integral timber joints, specifically, crossed-half-lap joints. The proposed method uses a set of custom-built, remote-controlled, high-force robotic clamps to operate in collaboration with an industrial robotic arm to overcome challenges of robotic timber joint assembly, such as providing large assembly forces and correcting misalignments. This method enables automatic assembly of non-repetitive and spatially connected timber structures. We developed custom software for modelling, visualization and feasibility-checking for structures compatible with the proposed assembly method. As a proof of concept, we designed and robotically assembled a spatial frame structure (4.8 x 3.0m footprint, 3.4m tall) comprising 40 pieces of 100x100mm profile timber elements.
keywords	Robotic Assembly; Spatial Timber Structure; Wood Joints; Distributed Robots
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia21_470
id	acadia21_470
authors	£ochnicki, Grzegorz; Kalousdian, Nicolas Kubail; Leder, Samuel; Maierhofer, Mathias; Wood, Dylan; Menges, Achim
year	2021
title	Co-Designing Material-Robot Construction Behaviors
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 470-479.
doi	https://doi.org/10.52842/conf.acadia.2021.470
summary	This paper presents research on designing distributed, robotic construction systems in which robots are taught construction behaviors relative to the elastic bending of natural building materials. Using this behavioral relationship as a driver, the robotic system is developed to deal with the unpredictability of natural materials in construction and further to engage their dynamic characteristics as methods of locomotion and manipulation during the assembly of actively bent structures. Such an approach has the potential to unlock robotic building practice with rapid-renewable materials, whose short crop cycles and small carbon footprints make them particularly important inroads to sustainable construction. The research is conducted through an initial case study in which a mobile robot learns a control policy for elastically bending bamboo bundles into designed configurations using deep reinforcement learning algorithms. This policy is utilized in the process of designing relevant structures, and for the in-situ assembly of these designs. These concepts are further investigated through the co-design and physical prototyping of a mobile robot and the construction of bundled bamboo structures. This research demonstrates a shift from an approach of absolute control and predictability to behavior-based methods of assembly. With this, materials and processes that are often considered too labor-intensive or unpredictable can be reintroduced. This reintroduction leads to new insights in architectural design and construction, where design outcome is uniquely tied to the building material and its assembly logic. This highly material-driven approach sets the stage for developing an effective, sustainable, light-touch method of building using natural materials.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_085
id	ecaade2021_085
authors	Apolinarska, Aleksandra Anna, Kuhn, Mathias, Gramazio, Fabio and Kohler, Matthias
year	2021
title	Performance-Driven Design of a Reciprocal Frame Canopy - Timber structure of the FutureTree
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 497-504
doi	https://doi.org/10.52842/conf.ecaade.2021.1.497
summary	This paper presents the design process of a recently built, 107 m2 free-form timber frame canopy. The structure is an irregular, funnel-shaped reciprocal frame resting on a central concrete column, and has been fabricated using a robot-based assembly process. The project addresses several known design and fabrication challenges: modelling of free-form reciprocal frames, complex interrelations between their geometry and structural behaviour, as well as develops custom software tools to represent different models and interface design and structural analysis environments. The performance-driven design is exemplified by studies on the relationship between geometric parameters of the reciprocal frame and the resulting force-flow and flexural stiffness of the structure. The final design is obtained by differentiating geometry and stiffness to reduce deflection and tensile stresses while observing fabrication constraints.The project demonstrates the application of computational design to create customized, performance-driven and robotically fabricated structures, and its successful realization validates the methods under real-life planning and construction conditions.
keywords	Integrated computational design ; Performance-based design ; Reciprocal frames ; Timber structures; Robotic fabrication
series	eCAADe
email
last changed	2022/06/07 07:55

_id	cdrf2021_359
id	cdrf2021_359
authors	Ayoub Lharchi, Mette Ramsgaard Thomsen, and Martin Tamke
year	2021
title	Joint Descriptive Modeling (JDM) for Assembly-Aware Timber Structure Design
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_33
summary	Joints design is an essential step in the process of designing timber structures. Complex architectural topologies require thorough planning and scheduling, as it is necessary to consider numerous factors such as structural stability, fabrication capabilities, and ease of assembly. This paper introduces a novel approach to timber joints design that embed both fabrication and assembly considerations within the same model to avoid mistakes that might cause delays and further expenses. We developed a workflow that allows us to identify the fundamental data to describe a given joint geometry, machine-independent fabrication procedures, and the assembly sequence. Based on this, we introduce a comprehensive descriptive language called Joint Descriptive Model (JDM) that leverages industry standards to convert a joint into a usable output for both fabrication and assembly simulations. Finally, we suggest a seed of a joint’s library with some common joints.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ecaade2021_244
id	ecaade2021_244
authors	Kontovourkis, Odysseas and Tryfonos, George
year	2021
title	A Hybrid Robotic Construction Approach in Large Scale - The example of a tree-like timber branching structure development
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 189-198
doi	https://doi.org/10.52842/conf.ecaade.2021.2.189
summary	This paper demonstrates an integrated approach for the development of a complex timber structure through a hybrid model of robotic and conventional construction. Specifically, a tree-like branching structure is parametrically developed and optimized in terms of material waste reduction during robotic cutting of variable structural components in size and angle. Also, the position and angle of joints are determined through robotic marking of wooden components in a continuous robotic workflow. This is followed by their conventional assembly into larger structural elements and then into an overall structure. The physical results are evaluated in terms of cutting and assembly accuracy of wooden parts based on a 3D scanning approach. The results show manufacturing deviations, both in cutting and assembly stages, which are executed by the robot and the carpenters respectively. These results provide useful inputs that enables a more thorough and productive consideration of the application of robotic technology and human involvement in the construction industry.
keywords	Hybrid construction; Tree-like branching structure; Robotic cutting; Manual assembly; Accuracy
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia23_v3_189
id	acadia23_v3_189
authors	Leung, Pok Yin Victor; Huang, Yijiang
year	2023
title	Task and Motion Planning for Robotic Assembly
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	When programming robotic assembly processes, it is often necessary to create a sequential list of actions. Some actions are robotic motions (requiring motion trajectory), and some are for controlling external equipment, such as grippers and fastening tools. The act of planning these actions and motion trajectories is called Task Planning and Motion Planning. Existing literature in robotics explored many different planning algorithms for planning a single trajectory to planning a complete sequence of tasks where continuity is maintained [Garrett et al, 2021]. Many application literature focused on the TAMP for service robots, medical robots, and self-driving cars, while there are few examples for architectural applications. For digital fabrication and automated construction, the planning method has to be adapted to the needs of architectural assemblies and the scale of construction [Leung et al, 2021]. Some of the unique challenges are the highly bespoke workpiece and assembly geometry, the large workpiece (e.g., long beams), and a dense collision environment. This three-day hybrid workshop addressed the needs of the architectural robotics community to use industrial robotic arms to assemble highly bespoke objects. The objects do not have any repetitive parts or assembly targets. The workshop leaders shared their experiences using industrial robots to construct large-scale timber structures. One of the most useful techniques is the recently published “Flowchart Planning Method,” where task sequence is planned using a flowchart, and motion trajectories are planned in a second pass [Huang et al, 2021].
series	ACADIA
type	workshop
last changed	2024/04/17 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	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 530-537.
doi	https://doi.org/10.52842/conf.acadia.2021.530
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

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

_id	caadria2021_368
id	caadria2021_368
authors	Cheng, Fang-Che, Yen, Chia-Ching and Jeng, Tay-Sheng
year	2021
title	Object Recognition and User Interface Design for Vision-based Autonomous Robotic Grasping Point Determination
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 633-642
doi	https://doi.org/10.52842/conf.caadria.2021.1.633
summary	The integration of Robot Operating System (ROS) with Human-Machine Collaboration (HMC) currently represents the future tendency toward Autonomous Robotic In-Situ Assembly on Construction Sites. In comparison with the industrial environment, construction sites nowadays are extremely complex and unpredictable, due to the different building components and customized design.This paper presents a visual-based object recognition method and user interface enabling on-site robot arms to autonomously handle building components, to build specific designs without the influence of material, shape, and environment. The implementation is an object recognition approach that serves with KUKA industrial robotic manipulator along with an RGB-depth stereo camera in an eye-in-hand configuration to grasp and manipulate found elements to build the desired structure. Opportunities for using vision-based autonomous robotic in-situ assembly on construction sites are reviewed.
keywords	computer vision; robot operating system; object recognition; pose estimate; grasping point determination; human-robot collaboration
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia21_270
id	acadia21_270
authors	Dambrosio, Niccolo; Schlopschnat, Christoph; Zechmeister, Christoph; Rinderspacher, Katja; Duque Estrada, Rebeca; Knippers, Jan; Kannenberg, Fabian; Menges, Achim; Gil Peréz, Marta
year	2021
title	Maison Fibre
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 270-279.
doi	https://doi.org/10.52842/conf.acadia.2021.270
summary	This research demonstrates the development of a hybrid FRP-timber wall and slab system for multi-story structures. Bespoke computational tools and robotic fabrication processes allow for adaptive placement of material according to specific local requirements of the structure thus representing a resource-efficient alternative to established modes of construction. This constitutes a departure from pre-digital, material-intensive building methods, based on isotropic materials towards genuinely digital building systems using lightweight, hybrid composite elements. Design and fabrication methods build upon previous research on lightweight fiber structures conducted at the University of Stuttgart and expand it towards inhabitable, multi-story building systems. Interdisciplinary design collaboration based on reciprocal computational feedback allows for the concurrent consideration of architectural, structural, fabrication and material constraints. The robotic coreless filament winding process only uses minimal, modular formwork and allows for the efficient production of morphologically differentiated building components. The research results were demonstrated through Maison Fibre, developed for the 17th Architecture Biennale in Venice. Situated at the Venice Arsenale, the installation is composed of 30 plate like elements and depicts a modular, further extensible scheme. While this first implementation of a hybrid multi-story building system relies on established glass and carbon fiber composites, the methods can be extended towards a wider range of materials ranging from ultra-high-performance mineral fiber systems to renewable natural fibers.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2021_176
id	sigradi2021_176
authors	Escaleira, Cláudia, Morais, António, Figueiredo, Bruno and Cruz, Paulo
year	2021
title	Reuse of Ceramic Roof Tiles: Enhancing New Functional Design Possibilities Through the Integration of Digital Tools for Simulation, Manufacture and Assembly
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1475–1486
summary	The material qualities of ceramic roof tiles have provided new formal interpretations that induced a new functional use—a wall. By disassembling ceramic roof tiles from roofs and assembling them into walls, its circularity potential was enlarged. This paper explores the potential use of ceramic roof tiles, as a single element type, in the definition of wall design systems and patterns of composition that comply with design for manufacture, assembly and disassembly (DfMA-D) requirements, through the development of a shape grammar and implementation through parametric models. The new shape grammar extends the compositional patterns already produced and the redefinition of the connection systems by incorporating DfMA-D requirements into the shape grammar rules sets new combinatorial patterns aligned with European Union goals for building circularity. The parametric models automate the generation of design solutions and extend the design process to the assembly and disassembly stages using robotic fabrication techniques.
keywords	circular building, component reuse, computational design, ceramic roof tiles, robotics in architecture
series	SIGraDi
email
last changed	2022/05/23 12:11

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

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

_id	ecaade2021_205
id	ecaade2021_205
authors	Kunic, Anja, Kramberger, Aljaz and Naboni, Roberto
year	2021
title	Cyber-Physical Robotic Process for Re-Configurable Wood Architecture - Closing the circular loop in wood architecture
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 181-188
doi	https://doi.org/10.52842/conf.ecaade.2021.2.181
summary	The concept of circularity implies that materials, components, systems can be re-utilized to reduce their environmental impact by extending their life-cycle. This paper discusses an approach to circular construction that revolves around transformable wood architecture. What if we can make buildings that can be assembled, disassembled, and re-assembled by robots in infinite circular loops of reconfigurations? To explore this concept, a robotic process is developed to automate the reconfiguration of timber structures, considering the material, geometric and processual challenges involved in the operations. This method entangles establishing a cyber-physical process based on visual and force feedback, the development of wood construction elements suitable for the process, the deployment of design algorithms for semi-autonomous online construction. The paper describes this setup and demonstrates its functionality through a set of experimental prototypes conceived and evaluated in a three-phase collaborative process of assembly-disassembly-reassembly.
keywords	Robotic timber construction; Circular wood architecture; Cyber-physical systems; Robotic timber re-assembly
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia21_222
id	acadia21_222
authors	Lok, Leslie; Samaniego, Asbiel; Spencer, Lawson
year	2021
title	Timber De-Standardized
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 222-231.
doi	https://doi.org/10.52842/conf.acadia.2021.222
summary	Timber De-Standardized is a framework that salvages irregular and regular shaped tree logs by utilizing a mixed reality (MR) interface for the design, fabrication, and assembly of a structurally viable tree log assembly. The process engages users through a direct, hands-on design approach to iteratively modify and design irregular geometry at full scale within an immersive MR environment without altering the original material. A digital archive of 3D scanned logs are the building elements from which users, designing in the MR environment, can digitally harvest (though slicing) and place the elements into a digitally constructed whole. The constructed whole is structurally analyzed and optimized through recursive feedback loops to preserve the user’s predetermined design. This iterative toggling between the physical and virtual emancipates the use of irregular tree log structures while informing and prioritizing the user’s design intent. To test this approach, a scaled prototype was developed and fabricated in MR. By creating a framework that links a holographic digital design to a physical catalog of material, the interactive workflow provides greater design agency to users as co-creators in processing material parts. This participation enables users to have a direct impact on the design of discretized tree logs that would otherwise have been discarded in standardized manufacturing. This paper presents an approach in which complex tree log structures can be made without the use of robotic fabrication tools. This workflow opens new opportunities for design in which users can freely configure structures with non-standardized elements within an intuitive MR environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2021_85
id	sigradi2021_85
authors	Naboni, Roberto and Marino, Dario
year	2021
title	Wedged Kerfing. Design and Fabrication Experiments in Programmed Wood Bending
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1283–1294
summary	Wood as a construction material gained interest in the last decade because of its low carbon footprint and the continuous research of new design possibilities opened using computational and robotic means. The shaping of timber into non-standard shapes is challenging and industrially demanding. This paper showcases a method to computationally control the formation of curved wood elements suitable for construction purposes. The aim is to achieve wood bending and twisting through a technique that combines advanced kerfing with a controlled insertion of wedges. The research has been conducted through material testing, computational developments, and robotic prototyping to evaluate design control, fabrication accuracy, and structural potential for architectural applications.
keywords	Robotic timber construction, wood architecture, performance-driven design, customized curved timber elements
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_218
id	caadria2021_218
authors	Saslawsky, Kevin, Sanford, Tyler, MacDonald, Katie and Schumann, Kyle
year	2021
title	Branching Inventory - Democratized Fabrication of Available Stock
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 513-522
doi	https://doi.org/10.52842/conf.caadria.2021.1.513
summary	Branching inventory is a construction methodology demonstrated through a full-scale structural prototype that reduces the waste inherent in milling lumber and celebrates natural variation by making complex form the efficient result of irregular material. The processing of wood into standardized components embeds waste and intensive energy consumption into timber construction. This work reimagines the utility of raw materials, using computational feedback to place natural form in dialogue with design intent -- creating a dialogue between technology, material, and designer. A custom workflow synthesizes a network of branches into a specific, structural form, shaped by the thicknesses and curvatures of the stock material as well as design input. Building on work using machine visioning in fabricating non-standard timber by others -- most of which relies on elaborate and cost-prohibitive 3D scanning and robotic fabrication systems -- branching inventory demonstrates a low-fidelity, democratized version of such approaches, using standard wood and metal-working tools and in which the available material stock contributes to design possibilities.
keywords	Digital Design; Digital Fabrication; 3D Scanning; Material Agency; Democratized Technology
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	sigradi2021_262
id	sigradi2021_262
authors	Turazzi Luciano, Patrícia, Klein Taparello, Gladys Ilka, Pupo, Regiane, Silva e Lima Schleder, Carolina and Vaz, Carlos Eduardo Verzola
year	2021
title	Contribution of Maker Education to Teaching and Society: Report of Two Experiments
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 993–1004
summary	The maker movement, which is based on experimentation, can be used as a teaching approach in universities and in society. This work presents the results of teaching-learning experiments of robotics projects using maker education approach in learning by doing and project-based learning methods. The research had two moments, in the first, two short-term workshops were held using prototyped cardboard parts and discarded electronic components. In the second moment, a long-term workshop was held with robotic kits. The data gathered through unsystematic observations was analyzed in order to understand the benefits of introducing maker education in different contexts and to present the limitations of each group. The experiments provided a collaborative experience, encouraging the development of initiative, autonomy, and critical and investigative sense of students in relation to the proposed problem.
keywords	cultura maker, educaçao maker, ensino, prototipagem digital
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

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