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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Jun 5, 2025 - EXC IntCDC Research Project 18 'Holistic Quality Model for Extension of Existing Buildings'
Balangé, Laura; Kerekes, Gabriel; Frolow, Rudolf; Yang, Yihui; Abolhasani, Sahar; Schwieger, Volker, 2025, "Point Clouds of the livMatS Biomimetic Shell at Various Stages of the Construction Process", https://doi.org/10.18419/DARUS-5093, DaRUS, V1
The data set contains the point clouds of different construction stages of the of the building demonstrator 'livMatS Biomimetic Shell' during the manufacturing process, as well as a point cloud of the pavilion after construction of the shell. The data is named according to the numbering of the most recently built element, which does not necessarily...
Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core...
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...
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...
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...
EXC IntCDC Associated Project 42 'Universal Timber Slab'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Associated Project 42 'Universal Timber Slab' logo
May 27, 2025
AP42: Computational design, fabrication, and engineering methods for unconstrained, highly resource-efficient, point-supported timber slabs in multi-storey buildings
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...
May 12, 2025 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'
Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2025, "Linked RDF graphs of an architectural and structural representation of a timber structure", https://doi.org/10.18419/DARUS-4360, DaRUS, V1
This dataset provides a collection of semantically enriched RDF graphs representing both architectural and structural aspects of a timber structure. The data is organized into modular Turtle (.ttl) files and one RIF rule definition (.txt) for reasoning purposes. Included in the dataset: Architectural Graph.ttl: Captures the spatial and material cha...
Mar 17, 2025 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Zorn, Max Benjamin; Claus, Luisa; Frenzel, Christian; Wortmann, Thomas, 2024, "Replication Data for: Optimizing an expensive multi-objective building performance problem: Benchmarking model-based optimization algorithms against metaheuristics with and without surrogates.", https://doi.org/10.18419/DARUS-4532, DaRUS, V2
This dataset contains all generated samples for a multi-objective optimization benchmark on a realistic building performance simulation problem. The samples are saved in JSON files. Every file contains the results of an independent optimization run. The JSON log files are organized into two folders. AA_BPS_Benchmark contains the logs from the bench...
Mar 13, 2025 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Valverde Rojas, Maria Claudia; Behnam, Hananeh; Yu, Yang; Veselý, Tomáš; Liu, Jiuyuan; Jiao, Feng; Pérez del Solar, Alejandra; Baros, Carolina; Fu, Yu; Pommerening, Luis; Tietz, Emilia; Ventura Saavedra, Oriana Gabriela; Preniqi, Blerta; Hany, Sherry; Kuhn, Jan; Benavides, Tadeo; Vigueras García, Maria; Escriche Narvión, Álvaro; Carraud, Eloisine, 2025, "COLife_06: Gigamap, Synthesis Map, DIY, Project Portfolio and Introduction", https://doi.org/10.18419/DARUS-4815, DaRUS, V1
The data cover a gigamap codesigned with the stakeholders and team members, a synthesis map, contemplating on the gigamap's data. It also covers instruction materials on how to reproduce the project itself. Portfolio and several instruction materials. The project focuses on a more-than-human perspective in a central urban environment. This time, CO...
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