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Multi-Viewpoint Framework for Digital Twin Integration and Reuse
US & West ·
A multi-viewpoint framework for integrating and reusing models in digital twin ecosystems with LLM-assisted compatibility analysis is presented. It addresses heterogeneity in models and data, providing structured compatibility assessment and feasibility analysis for model reuse. This reduces integration complexity and improves scalability of digital twin development.
Why it matters
The news addresses common issues of integration and reuse in digital twins, relevant to building complex models for cities, enterprises, and pipelines.
Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair. Robotic welding is promising, but reduced-gravity and low-pressure operation remains poorly characterised and flight-like tests are…
arXiv:2610.18400v1 Announce Type: new Abstract: Data trading markets that span industries and regions are expanding, but the implicit trust that supports data use within an organization does not carry over to cross-domain exchange.
Digital twins (DTs) can generate dense synthetic fingerprints for localization via ray tracing, yet the sim-to-real domain gap limits their direct use, particularly in cell-free millimeter-wave (mmWave) deployments where distributed geometries and blockage-induced sparsity widen the mismatch.
