Robotic Timber Construction

Robotic Timber Construction

This paper by the group of Gramazio Kohler Research at ETH Zurich, presents a novel approach to non-standard timber assembly – Robotic Timber Construction (RTC) – where robotic fabrication is used to expand additive digital fabrication techniques towards industrial full scale dimensions.

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Parametric Designs to Evaluate Kinetic Facades for Daylight Performance

Evaluate Kinetic Facades

This research presents a solution for evaluation of kinetic facades system performance via experiences and lessons learnt from experiments. Authors bridge between architects and engineers to address limitations associated with incorporating performance criteria in the design of kinetic facades.

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Metamaterial computation and fabrication of auxetic patterns for architecture

Auxetic Patterns

The paper by Roberto Naboni and Lorenzo Mirante investigates the potential of auxetics in architectural applications by means of computational design and additive manufacturing. This class of metamaterials expresses interesting behaviour related to the unusual characteristics of a negative Poisson’s ratio.

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Parametric Origami Adaptable temporary buildings

Parametric Origami

In this article Heike Matcha and Ante Ljubas employ the possibilities of parametric modeling software and customized mass production machinery to develop a design for adaptable multifunctional temporary medium size buildings made from recyclable lightweight materials and build a prototype from cardboard.

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Building Skins parametric design tools and BIM platforms

Building Skins

This paper by Wissam Wahbeh will discuss the recent use of parametric design tools as Grasshopper and DynamoBIM within BIM process. Furthermore, how the geometrical solutions could be arranged to optimize the interactivity of the final models.

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Meta Parametric Design

Meta Parametric Design

In this article the authors: John E. Harding and Paul Shepherd, propose a new approach called Meta-Parametric Design, combining graph-based parametric modelling with genetic programming. The advantages of this approach are demonstrated using two real case-study projects

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