7 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
Efficient Learning of Mechanism Designs and Compositionality
João Pedro Gandarela, Thiago Rios, Stefan Menzel +1
Learning mechanism behaviour requires a representation of how connected parts jointly constrain motion. We study whether exposing reusable constraint subassemblies improves predict…
Language Models Refine Mechanical Linkage Designs Through Symbolic Reflection and Modular Optimisation
João Pedro Gandarela, Thiago Rios, Stefan Menzel +1
Designing mechanical linkages involves combinatorial topology selection and continuous parameter fitting. We show that language models can systematically improve linkage designs th…
Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning
João Pedro Gandarela, Thiago Rios, Stefan Menzel +1
Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical output…