Magnetic Architecture

Dubor, Alexandre; Diaz, Gabriel-Bello

doi:10.1007/978-3-7091-1465-0_24

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A negotiation between digital design and digital craftsmanship that requires dynamic blueprints rather than static ones. "Dynamic Blueprints (Dubor and Diaz 2013)" offers a new tool for the designer to negotiate the materialisation of the project, where uncertainty, inaccuracy and unpredictability coming from the material and the fabrication process could be integrated in the design within predefined boundaries and logics, in accordance with the overall design goals.…”

Section: Dynamic Blueprints and Cyber Physical Makingmentioning

confidence: 99%

Negotiated Materialization: Design Approaches Integrating Wood Heterogeneity Through Advanced Robotic Fabrication

Brugnaro¹,

Figliola

Dubor

2019

Lecture Notes in Civil Engineering

Self Cite

View full text Add to dashboard Cite

Whilst robots are predictable, repetitive, predefined and constant, natural materials present unpredictable complexity. Over the past few centuries, materials have been standardized to fit industrial processes, in an attempt to defy this unpredictability. Thanks to new advances in sensing technologies and computational design, today we have the opportunity to reintegrate the intrinsic properties of natural materials in their full complexity. What is the potential of a synthesis between the particularity of each specific material element-specific properties and parameters-informing the fabrication process? Digital and Robotic Fabrication are based on the use of flexible machines that open the possibility to mass-customize the production process. Combined with sensors and computational analysis, they allow to work with "soft systems", both adaptable and continuously evolving, whose dynamism is constantly fed by a flow of information. How can the designer integrate this uncertainty and complexity in the design process? In this paper the authors specifically discuss the management of structural and material tolerance inherent to large scale construction and anisotropic materials, such as wood. A series of projects developed and built at the Institute for Advanced Architecture of Catalonia and the Bartlett School of Architecture are used as case studies to investigate tolerance management in Digital Fabrication with different kinds of wood.

show abstract

Section: Dynamic Blueprints and Cyber Physical Makingmentioning

confidence: 99%

Negotiated Materialization: Design Approaches Integrating Wood Heterogeneity Through Advanced Robotic Fabrication

Brugnaro¹,

Figliola

Dubor

2019

Lecture Notes in Civil Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Initially the majority of architectural robotic research utilizing computer vision has revolved around its application at the micro scale, using vision feedback systems to make incremental adjustments to a robotic strategy based upon local variations [15,16]. While beneficial as a means to adjust for material variation and machine error, these implementations are not robust enough for the in-situ robotics due to the complexities of construction sites.…”

Section: Previous Workmentioning

confidence: 99%

Towards Autonomous Robotic In-Situ Assembly on Unstructured Construction Sites Using Monocular Vision

Feng¹,

Xiao²,

Willette³

et al. 2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

View full text Add to dashboard Cite

-Unlike robotics in the manufacturing industry, on-site construction robotics has to consider and address two unique challenges: 1) the rugged, evolving, and unstructured environment of typical work sites; 2) the reversed spatial relationship between the product and the manipulator, i.e. the manipulator has to travel to and localize itself at the work face, rather than a partially complete product arriving at an anchored manipulator. The presented research designed and implemented algorithms that address these challenges and enable autonomous robotic assembly of freeform modular structures on construction sites. Building on the authors' previous work in computer-vision-based pose estimation, the designed algorithms enable a mobile robotic manipulator to: 1) autonomously identify and grasp prismatic building components (e.g., bricks, blocks) that are typically non-unique and arbitrarily stored on-site; and 2) assemble these components into predesigned modular structures. The algorithms use a single camera and a visual marker-based metrology to rapidly establish local reference frames and to detect staged building components. Based on the design of the structure being assembled, the algorithms automatically determine the assembly sequence. Implemented using a 7-axis KUKA KR100 robotic manipulator, the presented robotic system has successfully assembled various structures autonomously as shown in Figure 1, demonstrating the designed algorithms' effectiveness in autonomous on-site construction robotics applications.

show abstract