LATIDIA · Robótica

Grandes modelos de lenguaje para el diseño de robots basado en modelos

arXiv:2609.33423v1 Tipo de anuncio: nuevo Resumen: los modelos de lenguaje grandes (LLM) pueden contribuir con conocimientos de ingeniería útiles al diseño de robots, pero los diseños generados directamente pueden basarse en suposiciones implícitas y no proporcionar gua

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arXiv:2609.33423v1 Announce Type: new Abstract: Large Language Models (LLMs) can contribute useful engineering knowledge to robot design, but directly generated designs may rely on implicit assumptions and provide no guarantees of feasibility or optimality. These assumptions are critical because different reasonable modeling choices can materially change which designs are predicted to be feasible or optimal. We therefore present a framework that uses LLMs to construct explicit engineering models containing physical relationships, compatibility constraints, and objectives, allowing these modeling choices to be inspected and revised before formal optimization. The model can then be updated with additional engineering, manufacturer, or system-specific information before formal multi-objective optimization provides feasibility and Pareto-optimality guarantees with