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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61 to 70 of 108 Results
EXC IntCDC Research Project 13 'Form Finding, Mechanical Modelling and Assessment'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 13 'Form Finding, Mechanical Modelling and Assessment' logo
Nov 20, 2023
RP13-1: Transient form finding, mechanical modelling and assessment of segmented fibre composite shells
EXC IntCDC Research Project 15 'Data Management and Artificial Intelligence Approaches'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 15 'Data Management and Artificial Intelligence Approaches' logo
Nov 20, 2023
RP15-1: Data management and artificial intelligence approaches for data-integrated computational design, simulation, and fabrication
EXC IntCDC Research Project 17 'Building and Navigation Strategies for On-Site Robotics'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 17 'Building and Navigation Strategies for On-Site Robotics' logo
Nov 20, 2023
RP17-1: Building and navigation strategies for on-site robotic construction
EXC IntCDC Research Project 21 'Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design' logo
Nov 20, 2023
RP21-1: Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design
EXC IntCDC Research Project 24 'Human-Exoskeleton Interaction in Collaborative Tasks'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 24 'Human-Exoskeleton Interaction in Collaborative Tasks' logo
Nov 20, 2023
RP24-1: Health and safety platform for human-exoskeleton interaction in collaborative tasks in timber construction industry
EXC IntCDC Research Project 6 'Biocomposites Façades and -extension Systems'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 6 'Biocomposites Façades and -extension Systems' logo
Nov 20, 2023
RP6-1: Design and digital fabrication of biocomposite facade panels RP6-2: Biocomposites façades and -extension systems
EXC IntCDC Research Project 8 'Cyber-Physical Construction Platform'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 8 'Cyber-Physical Construction Platform' logo
Nov 20, 2023
RP8-1: Cyber-Physical Construction Platform RP8-2: Cyber-Physical Construction Platform
EXC IntCDC Research Project 9 'Data Processing and AI for Predictive and Adaptive Co-Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Research Project 9 'Data Processing and AI for Predictive and Adaptive Co-Design' logo
Nov 20, 2023
RP9-1: Integrative data processing for connected cyber-physical off-site and on-site construction RP9-2: Data processing and ai for predictive and adaptive co-design in prefabrication and on-site construction
Nov 8, 2023 - EXC IntCDC Research Project 27 'Cyber-Physical, Large-Scale Manipulation with Cable Robots'
Trautwein, Felix; Reichenbach, Thomas; Pott, Andreas; Verl, Alexander, 2023, "Replication Data for: A Predictor-Corrector-Scheme for the Geometry Planning for In-Operation-Reconfiguration of Cable-Driven Parallel Robots", https://doi.org/10.18419/DARUS-3682, DaRUS, V1
Measurement data to reproduce the absolute and repeatability precision before and after the reconfiguration process. The dataset contains the folder with the data in reference configuration ( /predictor_corrector_scheme_data/reference_config/) and the data in the reconfigured configuration (/predictor_corrector_scheme_data/referencer_config/). For...
Oct 31, 2023 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander; Strahm, Benedikt; Garrecht, Harald; Blandini, Lucio, 2023, "Compressive strength measurement data of concrete samples", https://doi.org/10.18419/DARUS-3753, DaRUS, V1
Raw Data on the compressive strength measurements of concrete samples that have been evaluated as follows: The goal is to investigate the influence of different mixing approaches on the compressive strength of four distinct concrete mixtures. Compressive strength is a critical property that directly impacts the structural performance of concrete. T...
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