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41 to 50 of 479 Results
ZIP Archive - 28.2 KB - MD5: 7498b17381b65bfb4b5f304c52a1afb4
Processed data from the user study tasks and executive reports of the discussions.
Apr 23, 2026 - 2025: Copilot for constraint-driven generation of architectural design evaluations and suggestions
Shakurianova, Alfiia; Frank, Juan David, 2026, "Interview Data for Preliminary study", https://doi.org/10.18419/DARUS-5862, DaRUS, V1
Results of conducted Interviews and questionnaires with Architects about Compliance checking during early stages of design development in Germany. 9 architects participated in this Preliminary study from different architectural companies in Germany (data of names of the companies and people names is anonymous). In the dataset there are 2 folders: "...
ZIP Archive - 4.3 MB - MD5: fbe96f6eef9e3f76aea2a7636a40cb02
ZIP Archive - 10.9 KB - MD5: df7e5fbeb630d642747db4f25752739c
Apr 23, 2026 - 2025: Copilot for constraint-driven generation of architectural design evaluations and suggestions
Shakurianova, Alfiia; Frank, Juan David, 2026, "Replication Data for: Case study", https://doi.org/10.18419/DARUS-5865, DaRUS, V1
Conducted Case study for testing the developed Co-pilot which automates compliance checking and generation of design suggestions. Case study is based on the task for an Architect to create design variants with help of the Co-pilot for a given design brief. There are 2 folders: "Raw data" (The data that was gotten during case study) and "Processed d...
ZIP Archive - 399.1 KB - MD5: 3fde94db6a56274ac9ab5f84945bb37a
ZIP Archive - 45.6 KB - MD5: 9cadbdf00ec6a059070ae3728c4c5bff
Mar 19, 2026 - Human-Machine Collaboration
Slezak, Samuel; Siriwardena, Lasath, 2026, "Cassis: An Agentic AI Toolkit for Rhino Grasshopper", https://doi.org/10.18419/DARUS-5777, DaRUS, V2
Cassis consists of the plugin library Cassis and a transport library for Streamable HTTP-based MCP communication for Rhino Grasshopper. Cassis implements the functionality specific to connecting agentic AI systems to Rhino Grasshopper through the Model Context Protocol. The plugin can, in principle, be referenced from any AI coding assistant that s...
ZIP Archive - 2.3 MB - MD5: 1e2857b7392d35e4ccbf8aa222433d0e
Mar 18, 2026 - ABxM Framework for Agent-based Modeling and Simulation
Slezak, Samuel; Siriwardena, Lasath; Leder, Samuel; Menges, Achim, 2026, "Replication Data for: LLM-Driven behavior Generation and Negotiation for Collective Robotic Construction", https://doi.org/10.18419/DARUS-5783, DaRUS, V1
Supplementary repository for the paper on LLM-driven collective robotic construction (CRC). Agent-based modeling and simulation (ABMS) has been widely employed to study emergent processes in collective robotic construction (CRC), where global architectural structures arise from local agent interactions. While these approaches reveal how complex ass...
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