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id acadia18_276
authors Bilotti, Jeremy; Norman, Bennett; Rosenwasser, David; Leo Liu, Jingyang; Sabin, Jenny
year 2018
title Robosense 2.0. Robotic sensing and architectural ceramic fabrication
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 276-285
summary Robosense 2.0: Robotic Sensing and Architectural Ceramic Fabrication demonstrates a generative design process based on collaboration between designers, robotic tools, advanced software, and nuanced material behavior. The project employs fabrication tools which are typically used in highly precise and predetermined applications, but uniquely thematizes the unpredictable aspects of these processes as applied to architectural component design. By integrating responsive sensing systems, this paper demonstrates real-time feedback loops which consider the spontaneous agency and intuition of the architect (or craftsperson) rather than the execution of static or predetermined designs. This paper includes new developments in robotics software for architectural design applications, ceramic-deposition 3D printing, sensing systems, materially-driven pattern design, and techniques with roots in the arts and crafts. Considering the increasing accessibility and advancement of 3D printing and robotic technologies, this project seeks to challenge the erasure of materiality: when mistakes or accidents caused by inconsistencies in natural material are avoided or intentionally hidden. Instead, the incorporation of material and user-input data yields designs which are imbued with more nuanced traces of making. This paper suggests the potential for architects and craftspeople to maintain a more direct and active relationship with the production of their designs.
keywords full paper, fabrication & robotics, robotic production, digital fabrication, digital craft
series ACADIA
type paper
email dsr234@cornell.edu
full text file.pdf (6,876,474 bytes)
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