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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application/vnd.ms-htmlhelp - 519.1 KB - MD5: 10923118dea9f1d0b341d9249add8ab9
Jun 4, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Menges, Achim, 2025, "ABxM.DistributedRobotics.RP19: Agent-Based Models for a Modular Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4760, DaRUS, V2
ABxM.DistributedRobotics.RP19 is an add-on to ABxM.Core for agent-based modelling of a collective robotic construction (CRC) system developed in the context of Research Project 19-1 (RP19-1) "Leveraging The Building Material As Part Of The Robotic Kinematic System For Parallel Construction" from the Cluster of Excellence Integrative Computational D...
Windows Executable - 24.0 KB - MD5: dd9d86dbbdb1c4628303f3dd5e67fa66
DLL containing reusable core functionalities and shared resources for the add-on
Unknown - 7.0 KB - MD5: 677ca1c4123230592f934b669ffd685b
Grasshopper plugin file (.gha) for the add-on
ZIP Archive - 12.9 MB - MD5: 61a3ca8cba4cd86e900a80d63f59cd65
Source code for the add-on
Jun 4, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Kubail Kalousdian, Nicolas; Menges, Achim, 2025, "Digital Twin for a Modular Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4761, DaRUS, V1
This dataset contains the digital twin developed for a Collective Robotic Construction (CRC) system, as published in Advanced Science (Leder, S., Kim, H., Oguz, O.S., Kalousdian, N.K., Hartmann, V.N., Menges, A., Toussaint, M., Sitti, M.: 2022, Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction...
ZIP Archive - 119.8 MB - MD5: 4cb72f5cf2d08c01b0f9d83b772fd9cb
This folder contains a Unity Package with all the files to run the Digital Twin.
May 28, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Menges, Achim, 2025, "Robotic Plans for the Assembly of A Large-Scale In-Plane Timber Prototype with a Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4758, DaRUS, V1
This data set contains the robotic plans for the assembly of a large-scale in-plane timber prototype with a collective robotic construction (CRC) system published in Automation in Construction (Leder, S., Kim, H., Sitti, M., Menges, A.: 2024, Enhanced Co-Design and Evaluation of a Collective Robotic Construction System for the Assembly of Large-Sca...
ZIP Archive - 182.7 KB - MD5: 224bc97fa41b7721557d3ff9ba859621
The robotic plans for the assembly of all 19 timber struts in the large-scale in-plane timber prototype. Each file is formatted in JSON.
May 14, 2025 - EXC IntCDC Research Project 22 'Prestressed Graded Concrete Components with Basalt Reinforcement'
Nigl, David; Miller, Olga; Witt, Martin-Uwe; Selvarayan, Sathis Kumar; Milwich, Markus; Gresser, Götz T.; Blandini, Lucio, 2025, "Replication Data for: Development of a Basalt Fiber-Reinforced Composite Duct for Post-Tensioned Functionally Graded Concrete Structures", https://doi.org/10.18419/DARUS-4717, DaRUS, V1, UNF:6:+CGRLHxxFvBA7q5RQb7QLA== [fileUNF]
This dataset represents an addendum and contains relevant data on the development and testing of a mineral-based composite duct for the placement of unbonded tendons in functionally graded concrete components. The composite duct possesses a tube profile, was produced in a pultrusion process and constists of basalt reinforcing fibers, embedded in a...
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