MIT (Dat Ha, Josephine Carstensen, Ferdous Alam, Markus Buehler, Faez Ahmed) · Design Copilot
Human-in-the-loop Topology Optimisation Copilot
MIT researchers describe a copilot for topology optimisation that pauses during generation to ask a human designer for feedback on regions likely to change. A machine-learning model, trained on a synthetic dataset of probable human feedback across thousands of designs, identifies those regions. In demonstrations the approach improved manufacturability and linear buckling load by 39 percent while adding only about 15 seconds to total design time compared with fully algorithmic methods. The paper is open access in Communications Engineering.
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