Data for MAVE: An Augmented Multi-agent LLM System for Interactive Design and Robotic Fabrication

DOI

This repository is the dataset accompanying the paper: "MAVE: An Augmented Multi-agent LLM System for Interactive Design and Robotic Fabrication". It contains the source code of the MAVE system, the study setup and traces, and analysis scripts needed to reproduce the data in the paper.

MAVE includes a hierarchical multi-agent architecture with supervisor, design, and robot agents. The codebase documents how user input, context sensing, geometry manipulation, and robot control are integrated within a common workflow, including the JSON-based model representation, database-supported context logging, and task-specific tool interfaces used by the agents. The repository also includes the test data required to reproduce the evaluation scenarios reported in the paper, particularly the ablation studies examining the contribution of model, object, spatial, tool, and goal grounding strategies.

Together, these materials support inspection of the system design, replication of benchmark tasks, and adaptation of the framework to related human-robot collaboration settings in design and fabrication. The repository is intended as a reusable research artefact that promotes transparency, reproducibility, and extensibility.

More information can be found in the README.md in the dataset.

Identifier
DOI https://doi.org/10.18419/DARUS-5838
Related Identifier IsSupplementTo https://doi.org/10.1145/3800645.3813008
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5838
Provenance
Creator Slezak, Samuel ORCID logo; Yang, Xiliu ORCID logo; Siriwardena, Lasath ORCID logo; Amtsberg, Felix ORCID logo; Menges, Achim ORCID logo
Publisher DaRUS
Contributor Yang, Xiliu; ICD
Publication Year 2026
Funding Reference DFG EXC 2120/2 - 390831618
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Yang, Xiliu (University of Stuttgart); ICD (University of Stuttgart)
Representation
Resource Type Dataset
Format application/zip
Size 2370912
Version 1.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Engineering; Engineering Sciences