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_id	acadia17_292
id	acadia17_292
authors	Hurkxkens, Ilmar; Girot, Christophe; Hutter, Marco
year	2017
title	Robotic Landscapes: Developing Computational Design Tools Towards Autonomous Terrain Modeling
doi	https://doi.org/10.52842/conf.acadia.2017.292
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 292-297
summary	Until today, on-site robotic construction processes in landscape architecture have been limited to predefined and controlled environments like road building or mining pits. We are presently developing an autonomous walking excavator that paves the way for new and advanced on-site design strategies. The shift towards robotic construction in terrain modeling and landscape architecture demands an adaptive design approach, where the resulting topology is inherently linked to landscape performance and the local conditions of a site. This paper discusses the computational design tools that may help redefine how design and construction processes can be better adapted to real-time topological and sensory data. This approach will, in due time, revolutionize how designers think, act and play with contemporary landscapes robotically, and reimagine their intrinsic relationship to infrastructure.
keywords	design methods; information processing; fabrication; construction/robotics; form finding
series	ACADIA
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last changed	2022/06/07 07:50

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