TO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
This episode discusses 'TO-Agents,' a multi-agent AI framework for topology optimization guided by subjective human preferences. The hosts detail how specialized agents translate natural language into structured data, iteratively refine designs using visual perception, and self-correct over time to meet complex aesthetic goals.