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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1 to 10 of 37 Results
Apr 10, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Porqueddu, Elena; Behnam, Hananeh; Valverde Rojas, María Claudia; Zímová, Kateřina; Gazdová, Kateřina; Sweeting, Ben; Goodbun, John; Perera, Dulmini; Sadler, Simon; Huthöfer, Stefanie, 2024, "COLife_04 - Multi-Scale More-than-Human Atlas Gigamaping, Ecosystem Mapping and CoDesigning", https://doi.org/10.18419/darus-4123, DaRUS, V1, UNF:6:rYSRFONRqVBOzoG7Tj9Imw== [fileUNF]
The dataset presents the Multi-Scale More-than-Human Atlas Gigamapping Workshop output that should evaluate and suggest new developments of COLife project prototyping. We also gathered the ecological check data and planted new species with gardening and seedbombs. This was all el...
Apr 3, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Prokop, Šimon; Zímová, Kateřina; Goryczka, Kateřina; Michálek, Ondřej; Psaras, Michalis; Konatzii, Panagiota; Kyprianou, Stefanos; Vučić, Marko; Hanzlík, Krištof; Trgala, Kamil; Oberhofnerová, Eliška, 2024, "COLridor - Responsive Wood Insect Hotels", https://doi.org/10.18419/darus-4117, DaRUS, V1, UNF:6:riO2bjLr1WMBhu0Y14DeAA== [fileUNF]
The dataset is releasing fabrication data of two prototypes produced in Prague - TreeHugger CZ and Nicosia - TreeHugger CY. These are responsive wood insect hotels produced in 2017 and 18, respectively. The data were adapted for Rhino 8. TreeHugger CY also involves instructions....
Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures
König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/darus-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]
This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm co...
Mar 13, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Siriwardena, Lasath; Menges, Achim, 2024, "ABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr)", https://doi.org/10.18419/darus-4058, DaRUS, V1
ABxM.DistributedRobotics.RADr is an add-on to ABxM.Core for agent-based design and control of multiple Roaming Autonomous Distributed robots (RADr) that assemble hexagonal digital materials. The add-on contains various agent system constructs and utilities for simulation of the s...
Mar 5, 2024 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Kragl, Philipp; Menges, Achim, 2024, "Roaming Autonomous Distributed robot (RADr)", https://doi.org/10.18419/darus-4059, DaRUS, V1
Roaming Autonomous Distributed robot (RADr) is a two-wheeled mobile robot that can assemble hexagonal digital materials. This dataset contains the 3D models for a RADr and a digital material that the RADr can actively grab with an electromagnet and move around (in 3dm and STEP fi...
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Behnam, Hananeh; Valverde Rojas, María Claudia; Guerriero, Cristina; Yeh, Hsuan; Huang, Jianing; Köse, Mahir, 2024, "COLife_02 - Gigamap and Game Design", https://doi.org/10.18419/darus-3985, DaRUS, V1
The dataset covers a gigamapping of game design and execution of the game GoCOLife that introduces a more-than-human perspective to the players. The data were produced as part of a studio course 'COLife: More-than-Human Perspective to CoDesign' in the summer semester 2024.
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Teye, Martha Teiko; Fischer, Leonie Katharina; Valverde Rojas, María Claudia; Behnam, Hananeh; Guimaraez di Stasi, Mariah; He, Mengxi; Hildebrandt, Harrison; Chau, Wai Man; Pittiglio, Alexandra; Asa, Pelin; Kuo, Chien Chun; Blagojevic, Emilija; Hillebrecht, Robin; Hillemanns, Theresa; Schaal, Maren; Spielvogel, Marcel; Sweeting, Ben; Goodbun, John; Perera, Dulmini, 2024, "COLife_00 - Gigamap and Fabrication Data", https://doi.org/10.18419/darus-3981, DaRUS, V1
The dataset covers codesign gigamapping data and the 3d parametric models from Rhino 3d of a set of responsive wood insect hotels with pollinator's gardens from the year 2022/23. The first set of gigamaps are for the first intervention POL-AI1, the second for its iteration POL-AI...
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Behnam, Hananeh; Valverde Rojas, María Claudia; Juarez, Diego; Grgurovic, Nikolina; Herlevi, Linnea; Zinder, Dorian; Bortone, Lorenzo; Belli, Fatma Sultan; Gado, Nanis, 2024, "COLife_03 - Gigamap and DIY", https://doi.org/10.18419/darus-3986, DaRUS, V1
The dataset presents the more-than-human intervention, its codesigned gigamap that leads to it and DIY recipes for its reproduction. The dataset was achieved during the winter semester 2023/24. The gigamap was in feedback loops codesigned digitally in the Miro platform and analog...
Feb 27, 2024 - EXC IntCDC Research Project 29 'COLife: More-Than-Human Perspective to Codesign'
Davidova, Marie; Valverde Rojas, María Claudia; Behnam, Hananeh; Fischer, Leonie Katharina; Fadini, Thomas; Haueise, Jannis; Hauke, Adriana; Florescu, Matei; Ferrari, Valentina; Ros, Ana Patricia; Vujovic, Nadja; Knutelsky, Samuel; Wosiak, Olga; Candìa, Marcelo, 2024, "COLife_01 - Gigamap and DIY Files", https://doi.org/10.18419/darus-3983, DaRUS, V1
The data cover codesigned gigamap and parametric and analogue DIY files of BioDiveIn more-than-human intervention. The gigamap was a product of digital participation in the Miro platform, updated by analogue workshops with stakeholders in feedback loops. The data were produced in...
Feb 21, 2024 - Analytic Computing
Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1
Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...
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