LLM agents can generate visually plausible CAD designs, but most fail functionally—this work shows how to verify and iteratively fix mechanisms using physics simulation rather than just visual checks.
This paper tackles functional CAD design by proposing FunCAD-Harness, a framework that helps AI agents create working mechanical designs by translating abstract requirements into physical tests and using simulation feedback to fix failures.