Gramazio Kohler Research
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Compas FAB
Compas Timber
AIXD: AI-eXtended Design
AI-Augmented Architectural Design
Impact Printing
Human-Machine Collaboration
AR Timber Assemblies
Autonomous Dry Stone
Architectural Design with Conditional Autoencoders
Integrated 3D Printed Facade
Robotic Plaster Spraying
Additively Manufactured Facade
Timber Assembly with Distributed Architectural Robotics
Eggshell Benches
Data Driven Acoustic Design
Mesh Mould Prefabrication
Data Science Enabled Acoustic Design
Thin Folded Concrete Structures
Adaptive Detailing
Deep Timber
Robotic Fabrication Simulation for Spatial Structures
Jammed Architectural Structures
Digital Ceramics
On-site Robotic Construction
Mesh Mould Metal
Smart Dynamic Casting and Prefabrication
Spatial Timber Assemblies
Robotic Lightweight Structures
Mesh Mould und In situ Fabricator
Complex Timber Structures
Spatial Wire Cutting
Robotic Integral Attachment
Mobile Robotic Tiling
Software Environments
Aerial Construction
Smart Dynamic Casting
Mesh Mould
Acoustic Bricks
Additive Fabrikation
AIXD: AI-eXtended Design, 2021-2024
Software development project
AI-eXtended Design is open-source Python toolbox designed to revolutionize parametric design with the power of modern Machine Learning (ML) algorithms. AIXD is your go-to toolkit for design evaluation, generation, exploration, and optimization, seamlessly blending parametric modeling with AI capabilities.

Key Features:

  • Generative Power: AIXD empowers you to easily train generative AI models, such as Conditional Autoencoders. This enables the creation of designs that not only push the boundaries of creativity but also meet the specific performance constraints of your project, advancing design exploration.

  • Surrogate Modeling: Easily create surrogate models for parametric problems using feed-forward neural networks, enhancing efficiency in design evaluation and optimization.

  • Versatility: Initially developed for the Architecture, Engineering, and Construction (AEC) industry, AIXD is applicable to any parametric problem across diverse domains.

  • Project-Specific and Low-Code: Tailor AIXD to your project’s unique needs with its project-specific approach, all while enjoying the benefits of a low-code environment that accelerates your design workflow.

AIXD website including API reference, user guide, tutorials and source code.

Related projects:

AI-Augmented Architectural Design

Architectural Design with Conditional Autoencoders: Semiramis Case Study

Gramazio Kohler Research, ETH Zurich
Prof. Matthias Kohler, Dr. Aleksandra Apolinarska, Gonzalo Casas, Dr. Romana Rust

Swiss Data Science Center (SDSC)
Dr. Luis Salamanca, Alessandro Maissen, Rafael Bischof, Dr. Konstantinos Tatsis, Prof. Fernando Perez-Cruz

kfm research, ETH Zurich
Prof. Walter Kaufmann, Dr. Michael Kraus, Sophia Kuhn
Copyright 2023, Gramazio Kohler Research, ETH Zurich, Switzerland
Gramazio Kohler Research
Professur für Architektur und Digitale Fabrikation
ETH Zürich HIB E 43
Stefano-Franscini Platz 1 / CH-8093 Zürich

+41 44 633 49 06
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