AI RESEARCH
TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization
arXiv CS.AI
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ArXi:2605.21622v1 Announce Type: new Topology optimization can generate efficient structures, but designers often must manually translate qualitative intent, such as desired visual style, product experience, or manufacturability into solver settings that are not directly tied to those preferences. We present TO-Agents, a multi-agent AI framework that connects natural-language design intent with iterative topology optimization.