ROBOTIC LANDSCAPES — NATURE, COMPUTATION, AND THE DESIGN SPACE OF AUTONOMOUS TERRAIN MODELING

Christophe GIROT; Ilmar HURKXKENS

doi:10.15302/J-LAF-20180208

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Landsc. Archit. Front. ›› 2018, Vol. 6 ›› Issue (2) : 64-75. DOI: 10.15302/J-LAF-20180208

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ROBOTIC LANDSCAPES — NATURE, COMPUTATION, AND THE DESIGN SPACE OF AUTONOMOUS TERRAIN MODELING

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Abstract

An experimental studio on a highway site in Canton of Ticino in Switzerland held at the ETH in the fall of 2017 is the result of a collaborative project with the National Center of Competence in Research Digital Fabrication, ETH Zürich. The work shows a series of designs that were developed through procedural and robotic principles. The landscape models based on a Lidar point cloud data set of the entire Ticino Valley served as the basis of all terrain operations. The results obtained after a 15-week studio are encouraging and show the way towards a new way of conceiving landscapes through robotic design.

Keywords

Robotic Landscape / Autonomous Terrain Modeling / Point Cloud Data Set / Anthropocene

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Christophe GIROT, Ilmar HURKXKENS. ROBOTIC LANDSCAPES — NATURE, COMPUTATION, AND THE DESIGN SPACE OF AUTONOMOUS TERRAIN MODELING. Landsc. Archit. Front., 2018, 6(2): 64‒75 https://doi.org/10.15302/J-LAF-20180208