Infinite Variations, Radical Strategies

Self, Martin; Vercruysse, Emmanuel

doi:10.2307/j.ctt1n7qkg7.8

Cited by 24 publications

(13 citation statements)

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“…In the research community, the use of material information obtained through computer vision has been tested in a large variety of applications: it has been used to upcycle scrap material and inform robotic assembly sequences [4], to assemble small scale structures or establish material libraries of natural grown resources i.e. timber crotches [5], to identify the best fitting element and use it only processed at the connection points to build a bis scale structure for a barn. These and other examples show the immense capacity of material scanning for a smart (re) use in digital fabrication processes.…”

Section: Materials Scanning In Aec Industry and Researchmentioning

confidence: 99%

Di-terial – Matching Digital Fabrication and Natural Grown Resources for the Development of Resource Efficient Structures

Amtsberg

Mueller

Raspall

2021

Proceedings of the 2021 DigitalFUTURES

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The research presented in this paper focusses on the concept of “Di-terial” 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.

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Section: Materials Scanning In Aec Industry and Researchmentioning

confidence: 99%

Di-terial – Matching Digital Fabrication and Natural Grown Resources for the Development of Resource Efficient Structures

Amtsberg

Mueller

Raspall

2021

Proceedings of the 2021 DigitalFUTURES

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“…Since engineered wood technologies are far more developed than bamboo processing, analyzing the development of timber can be seen as an inspiration for bamboo application (Huang 2019). Natural timber has an intricate fibrous layout and can be used for evolutionary optimized structures (Self and Vercruysse 2017). However, it is hard to be applied to engineered structures because of its non-standardized material conditions and dimensional deviations during construction.…”

Section: Natural Materials and Constructionmentioning

confidence: 99%

Working with Uncertainties: An Adaptive Fabrication Workflow for Bamboo Structures

Yue

Zhong

Kaiser³

et al. 2021

Proceedings of the 2020 DigitalFUTURES

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This paper presents and investigates a cyber-physical fabrication workflow, which can respond to the deviations between built- and designed form in real-time with vision augmentation. We apply this method for large scale structures built from natural bamboo poles. Raw bamboo poles obtain evolutionarily optimized fibrous layouts ideally suitable for lightweight and sustainable building construction. Nevertheless, their intrinsically imprecise geometries pose a challenge for reliable, automated construction processes. Despite recent digital advancements, building with bamboo poles is still a labor-intensive task and restricted to building typologies where accuracy is of minor importance. The integration of structural bamboo poles with other building layers is often limited by tolerance issues at the interfaces, especially for large scale structures where deviations accumulate incrementally. To address these challenges, an adaptive fabrication process is developed, in which existing deviations can be compensated by changing the geometry of subsequent joints to iteratively correct the pose of further elements. A vision-based sensing system is employed to three-dimensionally scan the bamboo elements before and during construction. Computer vision algorithms are used to process and interpret the sensory data. The updated conditions are streamed to the computational model which computes tailor-made bending stiff joint geometries that can then be directly fabricated on-the-fly. In this paper, we contextualize our research and investigate the performance domains of the proposed workflow through initial fabrication tests. Several application scenarios are further proposed for full scale vision-augmented bamboo construction systems.

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“…Novel structural systems such as reciprocal (Apolinarska 2018) and folded plate structures were investigated (Robeller and Weinand 2015) and showcase potentials that arise at the intersection of computational design and construction. Further studies investigated the robotic construction of building-scale projects: demonstrators were constructed with robotically nailed timber slats (Willmann et al 2016), scanned and milled natural tree forks (Self et al 2017) and robotically milled planar shell segments (Krieg et al 2014). Fabrication setups include large-scale gantry robots (Chai et al 2019), stationary robot cells (Eversmann et al 2017) and mobile robotic in-situ fabricators (Helm et al 2012).…”

Section: State Of the Artmentioning

confidence: 99%

Towards digital automation flexibility in large-scale timber construction: integrative robotic prefabrication and co-design of the BUGA Wood Pavilion

et al. 2020

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This paper discusses the digital automation workflows and co-design methods that made possible the comprehensive robotic prefabrication of the BUGA Wood Pavilion—a large-scale production case study of robotic timber construction. Latest research in architectural robotics often focuses on the advancement of singular aspects of integrated digital fabrication and computational design techniques. Few researchers discuss how a multitude of different robotic processes can come together into seamless, collaborative robotic fabrication workflows and how a high level of interaction within larger teams of computational design and robotic fabrication experts can be achieved. It will be increasingly important to discuss suitable methods for the management of robotics and computational design in construction for the successful implementation of robotic fabrication systems in the context of the industry. We present here how a co-design approach enabled the organization of computational design decisions in reciprocal feedback with the fabrication planning, simulation and robotic code generation. We demonstrate how this approach can implement direct and curated reciprocal feedback between all planning domains—paving the way for fast-paced integrative project development. Furthermore, we discuss how the modularization of computational routines simplify the management and computational control of complex robotic construction efforts on a per-project basis and open the door for the flexible reutilization of developed digital technologies across projects and building systems.

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Infinite Variations, Radical Strategies

Cited by 24 publications

References 0 publications

Di-terial – Matching Digital Fabrication and Natural Grown Resources for the Development of Resource Efficient Structures

Di-terial – Matching Digital Fabrication and Natural Grown Resources for the Development of Resource Efficient Structures

Working with Uncertainties: An Adaptive Fabrication Workflow for Bamboo Structures

Towards digital automation flexibility in large-scale timber construction: integrative robotic prefabrication and co-design of the BUGA Wood Pavilion

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