LensDesigner: A Self-Improving Agent for Optical Lens Design

arXiv:2609.30450 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/openclaw/openclaw

Terminology

• Benchmark — 25× in this paper · explained in 2 episodes
• Aperture — 22× in this paper · explained in 1 episode
• Local Optimization — 8× in this paper · explained in 2 episodes
• Distillation — 7× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Verification — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Ablation study — 4× in this paper · explained in 1 episode
• Agentic Framework — 4× in this paper · explained in 6 episodes
• Field of View — 4× in this paper
• RAG — 4× in this paper · explained in 3 episodes
• Root Mean Square — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Damped Least Squares — 3× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Ab Initio — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Aperture Correction — 1× in this paper · explained in 1 episode
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Modular Components — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Self-Evolving Agents — 1× in this paper · explained in 2 episodes

Sources

• ChemCrow: Augmenting large-language models with chemistry tools
• Neuro-inspired automated lens design
• DeepSeek-V3 Technical Report
• OpenAI GPT-5 System Card
• LLaMA: Open and Efficient Foundation Language Models
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• Qwen3 Technical Report

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