The vision of the Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) is to harness the full potential of digital technologies in order to rethink design, fabrication and construction based on integration and interdisciplinarity, with the goal of enabling game-changing innovation in the building sector as it can only occur through highly integrative fundamental research in an interdisciplinary, large-scale research undertaking.

The Cluster aims to lay the methodological foundations for a profound rethinking of the design and building process and related building systems by adopting an integrative computational approach based on interdisciplinary research encompassing architecture, structural engineering, building physics, engineering geodesy, manufacturing and system engineering, computer science and robotics, social sciences and humanities. We aim to bundle the internationally recognised competencies in these fields of the University of Stuttgart and the Max Planck Institute for Intelligent Systems to accomplish our research mission.

The Cluster’s Industry Consortium will ensure direct knowledge exchange, transfer and rapid impact. Taking into account the significant difference between the building industry and other industries, we will tackle the related key challenges of achieving a higher level of integration, performance and adaptability, and we will address the most important building typologies of multi-storey buildings, long-span buildings, and the densification of urban areas.

The Cluster’s broad methodological insights and interdisciplinary findings are expected to result in comprehensive approaches to harnessing digital technologies, which will help to address the ecological, economic and social challenges that current incremental approaches cannot solve.

We envision IntCDC to significantly shape the future of architecture and the building industry through a higher-level integration of computational design and engineering methods, effective cyber-physical (tightly interlinked computational and material) robotic construction processes and new forms of human-machine collaboration, efficient and sustainable next-generation building systems, and socio-cultural and ethical reflection. Thus, the Cluster will have significant impact on creating the conditions required for a liveable and sustainable future built environment, high-quality yet affordable architecture and a novel digital building culture.
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EXC IntCDC Associated Project 30 'Towards Human-Robot Co-Agency'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Associated Project 30 'Towards Human-Robot Co-Agency' logo
Jan 21, 2025
AP30: Towards human-robot co-agency: AI and feminist technoscience perspectives for diversity, demography and democracy on human-robot collaboration in architecture.
Nov 29, 2024 - FabFramework
Opgenorth, Nils, 2024, "FabFramework.Core: Task-Based Robotic Fabrication Framework", https://doi.org/10.18419/DARUS-4600, DaRUS, V1
FabFramework is designed around a Task-Based Fabrication methodology, which transforms digital design models into sequential, data-driven robotic tasks. This approach ensures precise fabrication operations through simulation and predefined parameters, following a three-step process. The framework begins with the Design layer, where the user design...
ZIP Archive - 30.2 MB - MD5: e62ec07d4611b56151be9bcb669f3c1f
Nov 25, 2024 - EXC IntCDC RP 10: Co-Design from Architectural, Historical and Social Science Perspectives
Svatoš-Ražnjević, Hana; Menges, Achim, 2024, "Multi-storey Timber Buildings and Design and Construction Stakeholder Constellations Data: 99 DACH Projects", https://doi.org/10.18419/DARUS-4442, DaRUS, V2, UNF:6:73/0XlbFwRz+ev9CKVbTUA== [fileUNF]
This repository contains a collection of data on 99 contemporary multi-storey timber building projects in the DACH region (Germany, Austria, and Switzerland), designed and planned between 2004 and 2021, and the stakeholders involved in their design and construction. The dataset consists of quantitative and qualitative project data on buildings 4 st...
MS Excel Spreadsheet - 20.8 KB - MD5: 62eece909d7be94b298f74e508a11c9e
This file contains the updated list of 99 multi-storey timber buildings in the DACH region with basic data including the location, number of stories, construction year, as well as the basic stakeholder constellation and the identified innovation trajectory.
Tabular Data - 71.9 KB - 34 Variables, 99 Observations - UNF:6:LpBDStdiB1fyEfbULY7JjQ==
This file contains the full updated list of 99 buildings in the DACH region with analyzed and classified data which includes the construction year, location, height (number of stories), program (use of the building), structural system (type), structural materials used, massing and internal spatial organization, as well as the stakeholder constellat...
Tabular Data - 20.6 KB - 10 Variables, 256 Observations - UNF:6:3UHHQ86HoMgX/+ZxV/QL0g==
This file contains the full updated list of 258 stakeholders involved in the design and construction of the 99 projects in the DACH region. The data includes links to stakeholder websites, headquarter location, and the related projects ID's.
Nov 4, 2024 - EXC IntCDC Research Project 3 'Co-Design of Multi-Storey Timber Building Systems for Building Stock Extension'
Müller, Theresa; Krtschil, Anna; Leistner, Philip, 2024, "Replication Data for: Structural and acoustic behavior of a timber slab with wooden tuned mass dampers", https://doi.org/10.18419/DARUS-3995, DaRUS, V1, UNF:6:62r5i2gvHXdCEYYBtRDx4w== [fileUNF]
This dataset contains the data of literature as well as the data of the experimental modal analysis of the scaled timber plate without and with tuned mass damper (TMD) that is described in the related publication. The dataset contains frequency response functions, quantified by the mobility Y. It is used to determine the acoustic transmission behav...
Tabular Data - 3.6 MB - 7 Variables, 25601 Observations - UNF:6:w0mMY9WX20LiDHM7YhzZ2Q==
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