[2602.23761] OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design

Computer Science > Machine Learning arXiv:2602.23761 (cs) [Submitted on 27 Feb 2026] Title:OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design Authors:Yuyu Geng, Lei Sun, Yao Gao, Xinxin Hu, Zhonghua Yi, Xiaolong Qian, Weijian Hu, Jian Bai, Kaiwei Wang View a PDF of the paper titled OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design, by Yuyu Geng and 8 other authors View PDF HTML (experimental) Abstract:Optical design is the process of configuring optical elements to precisely manipulate light for high-fidelity imaging. It is inherently a highly non-convex optimization problem that relies heavily on human heuristic expertise and domain-specific knowledge. While Large Language Models (LLMs) possess extensive optical knowledge, their capabilities in leveraging the knowledge in designing lens system remain significantly constrained. This work represents the first attempt to employ LLMs in the field of optical design. We bridge the expertise gap by enabling users without formal optical training to successfully develop functional lens systems. Concretely, we curate a comprehensive dataset, named OptiDesignQA, which encompasses both classical lens systems sourced from standard optical textbooks and novel configurations generated by automated design algorithms for training and evaluation. Furthermore, we inject domain-specific optical expertise into the LLM through a hybrid objective of full-system synthesis and lens completion. To a...