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AIXD: AI-eXtended Design
AI-Augmented Architectural Design
AR Timber Assemblies
Architectural Design with Conditional Autoencoders
Integrated 3D Printed Facade
Think Earth SP7
Robotic Plaster Spraying
Additive Manufactured Facade
Human-Machine Collaboration
Timber Assembly with Distributed Architectural Robotics
Eggshell Benches
Eggshell
CantiBox
Autonomous Dry Stone
RIBB3D
Data Driven Acoustic Design
Mesh Mould Prefabrication
Data Science Enabled Acoustic Design
Thin Folded Concrete Structures
FrameForm
Adaptive Detailing
Deep Timber
Robotic Fabrication Simulation for Spatial Structures
Jammed Architectural Structures
RobotSculptor
Digital Ceramics
On-site Robotic Construction
Mesh Mould Metal
Smart Dynamic Casting and Prefabrication
Spatial Timber Assemblies
Robotic Lightweight Structures
Mesh Mould and In situ Fabricator
Complex Timber Structures
Spatial Wire Cutting
Robotic Integral Attachment
Mobile Robotic Tiling
YOUR Software Environment
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Smart Dynamic Casting
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Acoustic Bricks
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Echord
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Adaptive Detailing, ETH Zurich, 2017-2020
PhD Research Project
This research introduces a novel detailing method that enables the design and robotic fabrication of connection details for non-standard metal spatial structures based on information gathered during the assembly process. Rather than producing custom joints for such structures in a separate prefabrication process, the proposed approach enables the creation of connections that are manufactured directly onto building members tailoring the connection detail geometry based on as found conditions. The method is explored through robotic wire arc additive manufacturing (WAAM), a metal 3D printing technique based on MIG welding. The robotic process is coupled with sensing and feedback strategies to allow for local control of the connection geometry. As a result, the method
enables the robust fabrication of connections that can compensate material and construction tolerances. Motivated by increasing new applications of robots for building architectural scale structures, this research aims to contribute new concepts and methods for digital construction by enabling the design and fabrication of locally differentiated architectural structures.

Ariza, Inés and Mirjan, Ammar and Gandia, Augusto and Casas, Gonzalo and Cros, Samuel and Gramazio, Fabio and Kohler, Matt-hias. "In Place Detailing. Combining 3D printing and robotic assem-bly." In ACADIA 2018 Recalibration: On Imprecision and Infidelity. Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture, Anzalone, Philip and Del Signore, Marcella and Wit, Andrew J., 312–321. Association for Computer Aided Design in Architecture (ACADIA), 2018.
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PDF

Mitropoulou, Ioanna, Inés Ariza, Mathias Bernhard, Benjamin Dillenburger, Fabio Gramazio, and Matthias Kohler. “Numerical Sculpting: Volumetric Modelling Tools for In Place Spatial Additive Manufacturing.” In Impact: Design With All Senses, edited by Christoph Gengnagel, Olivier Baverel, Jane Burry, Mette Ramsgaard Thomsen, and Stefan Weinzierl, 132–45. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-29829-6_11.
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Silvestru, Vlad-Alexandru, Inés Ariza, Julie Vienne, Lucas Michel, Asel Maria Aguilar Sanchez, Ueli Angst, Romana Rust, Fabio Gramazio, Matthias Kohler, and Andreas Taras. “Performance under Tensile Loading of Point-by-Point Wire and Arc Additively Manufactured Steel Bars for Structural Components.” Materials & Design 205 (July 1, 2021): 109740. https://doi.org/10.1016/j.matdes.2021.109740.
Link

Credits:
Gramazio Kohler Research, ETH Zurich

In cooperation with: NCCR Digital Fabrication, ETH Zurich
Collaborators: Inés Ariza (project lead), Dr. Romana Rust, Philippe Fleischmann, Gonzalo Casas, Dr. Ammar Mirjan, Michael Lyrenmann
Sponsors: Fronius Schweiz AG

Copyright 2024, Gramazio Kohler Research, ETH Zurich, Switzerland
Gramazio Kohler Research
Chair of Architecture and Digital Fabrication
ETH Zürich HIB E 43
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