The Brick Labyrinth

Luka Piskorec, David Jenny, Stefana Parasco, Hannes Mayer, Fabio Gramazio, Matthias Kohler

Research output: Contribution to conferencePaperScientificpeer-review


This paper presents a project developed within the Master of Advanced Studies in Architecture and Digital Fabrication programme at ETH Zurich. The Brick Labyrinth is the first large-scale construction built in the Robotic Fabrication Laboratory, a unique multi-robotic setup for automated prefabrication at architectural scale. The project continues the tradition of robotic brick laying started at Gramazio Kohler Research but increases the significance of computational design and robotic control by solely working with a dry-stacked construction method. The paper introduces the design methodology, the computational framework and the robotic fabrication setup and addresses the structural challenges of the constructive system. It introduces strategies for an automated multi-robotic brick laying process at large-scale including custom-made robotic end-effectors to increase the speed of the process. The unique setup of the project and its material system demonstrate a fully reversible construction process at architectural scale, suggesting a new approach to physical prototyping, which could fundamentally change the way we design buildings. While this paper highlights the design explorations leading towards the final structure – featuring the development of a flexible dry-stacked brick bond and its potential to create unique spatial sequences – it also provides an outlook on how the integration of computational tools into automated fabrication processes can lead to new design typologies.
Original languageEnglish
Publication statusPublished - 12 Sep 2018
MoE publication typeNot Eligible
EventRobotic Fabrication in Architecture, Art, and Design: Radical Cross-Disciplinarity - ETH Zurich, Zurich, Switzerland
Duration: 10 Sep 201814 Sep 2018


ConferenceRobotic Fabrication in Architecture, Art, and Design
Abbreviated titleROB|ARCH
Internet address

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