1 to 10 of 93 Results
Oct 30, 2026 - EXC IntCDC Research Project 16 'Cyber-Physical On-Site Construction Processes using a Spider Crane Robotic Platform'
Wasserloos, Philipp; Gienger, Andreas; Sawodny, Oliver, 2026, "Replication Data for: Compliance Control of an Electro-Hydraulic Large-Scale Manipulator for Robotic On-Site Construction", https://doi.org/10.18419/DARUS-6488, DaRUS, V1
MATLAB code to replicate the results of the paper titled Compliance Control of an Electro-Hydraulic Large-Scale Manipulator for Robotic On-Site Construction. To evaluate the compliance control scheme, two experiments were carried out: First, a constant force was applied in longitudinal and in lateral direction of the main arm. The data recorded in... |
Oct 16, 2026 - EXC IntCDC Associated Project 21 'AI-based Timber Construction Process Planing'
Sherkat, Shermin; Wortmann, Thomas; Wortmann, Andreas, 2026, "Software and Scripts for: APTree, Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction", https://doi.org/10.18419/DARUS-6522, DaRUS, V1
This dataset accompanies the paper “APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction” and contains the source code and data needed to reproduce the framework, evaluation, and case study presented in the work. APTree is a model-driven framework for automated robotic task planning in constructi... |
Oct 15, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Shakurianova, Alfiia; Skoury, Lior; Zorn, Max Benjamin; Wortmann, Thomas, 2026, "Hyperparameter Optimization: a Large-scale Benchmark Using Random Search, Sensitivity Analysis, and Surrogate Multi-objective Optimization on Black-box Problems", https://doi.org/10.18419/DARUS-6406, DaRUS, V1
Overview This project benchmarks ten multi-objective optimization algorithms, including NSGA-II, NSGA-III, SPEA2, MOEA/D, HYPE, NSPSO, MACO, RBFMOpt, TPE, and NOMAD, across a large and diverse set of black-box (bbcom) problems. The study evaluates algorithm performance, robustness, convergence, and sensitivity to hyperparameters. Hyperparameter Tun... |
Sep 17, 2026 - EXC IntCDC Associated Project 36 'Development of Self-Forming Curved Wood Furniture'
Kiesewetter, Laura; Wood, Dylan; Menges, Achim, 2026, "Shaping Documentation of Three Self-shaping Furniture Case Studies", https://doi.org/10.18419/DARUS-6400, DaRUS, V1, UNF:6:66usg4uNWSXd9ghDhqFF4w== [fileUNF]
Summary This dataset contains interval photos and metadata of the self-shaping process of three self-shaping wood furniture case studies, including time-lapse image sequences and CSV files documenting image metadata and gaps in the footage from camera-based acquisition. Dataset structure Shaping_documentation/ Case_study_C1/ Images/ Gaps_in_footage... |
Aug 11, 2026 - EXC IntCDC Associated Project 58 'NeuralWood'
Akbar, Zuardin; Gambarelli, Serena; Wortmann, Thomas, 2026, "NeuralWood Spruce Boards: Raw Dataset", https://doi.org/10.18419/DARUS-5683, DaRUS, V1
Overview This dataset is part of the project Neuralwood: Neural Networks for the Prediction and Utilization of Natural Material Variations in Timber Construction by the Department for Computing in Architecture, Institute for Computational Design and Construction (ICD/CA) and Materials Testing Institute (MPA), University of Stuttgart. The dataset co... |
Jul 21, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Claus, Luisa; Joller, Simon; Yang, Xiliu; Zorn, Max Benjamin; Wortmann, Thomas, 2026, "Code for: Towards Flexible Building Energy Surrogate Models: A Novel Feature Representation Method", https://doi.org/10.18419/DARUS-6306, DaRUS, V1
This code provides the data preprocessing framework used in the publication "Towards Flexible Building Energy Surrogate Models: A Novel Feature Representation Method", designed to generate flexible, physically meaningful feature representations for surrogate modeling of building energy performance. The framework extracts fixed-length feature vector... |
Jun 25, 2026 - EXC IntCDC Research Project 36 'AI as Co-designer'
Elshani, Diellza; Marsillo, Laura; Wortmann, Thomas, 2026, "Semantic Timber Construction and Robotic Fabrication Knowledge Graph Dataset", https://doi.org/10.18419/DARUS-6131, DaRUS, V1, UNF:6:6EGQ+0zxmwTet5HhPVBWlA== [fileUNF]
This dataset accompanies the paper A Semantic Framework for Linking Building Design, Material Data, and Robotic Fabrication in Timber Construction. The dataset supports the reproducibility of a semantic framework that links building geometry, timber material properties, and robotic fabrication information through an ontology-driven knowledge graph.... |
Jun 9, 2026 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/DARUS-3977, DaRUS, V2
From Shapes to Shapes (s2s): a tool and library for inferring shape constraints that validate the result graphs of graph-transformation queries. Version 1.0 accompanies "From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries" (WWW 2024, doi:10.1145/3589334.3645550); it archives the v1.0.0 source tree. Version 2.0 acco... |
May 26, 2026 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Grünvogel, Nicolai Hans Pascal; Mindermann, Pascal; Baruah, Angshuman C.; Sychterz, Ann; Bischoff, Manfred, 2026, "Replication Data for: Methodological Positioning of Fiberoptic Strain Sensors in Coreless Filament-Wound Lattice Composite Structures", https://doi.org/10.18419/DARUS-6107, DaRUS, V1, UNF:6:ma4kEP4vKnlM8QckneR4QQ== [fileUNF]
This data set contains: 7 input files to generate the mechanical model based on the direct stiffness method of the specific structures, described in detail in the related publication. 2 Excel files for the color-coding of the 4 sample structures for post-processing of the different schemes (qualitative/quantitative), described in detail in the rela... |
Apr 20, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Renner, Markus; Zorn, Max Benjamin; Dai, Anni; Wortmann, Thomas, 2026, "Supplemental Materials for: Evaluating Interactive Visualizations of Multi-Objective Optimization Results for Architectural Design Decision-Making", https://doi.org/10.18419/DARUS-5694, DaRUS, V1
This software provides an interactive visualization framework designed to support architects and engineers in exploring and making decisions from high-dimensional data generated by multi-objective optimization (MOO) in the Architecture, Engineering, and Construction (AEC) industry. The framework integrates multiple coordinated views (MCVs), includi... |
