Agentic Risk-Aware Set-Based Engineering Design
arXiv:2604.16687v1 Announce Type: cross
Abstract: This paper introduces a multi-agent framework guided by Large Language Models (LLMs) to assist in the early stages of engineering design, a phase often characterized by vast parameter spaces and inhere…