Vision-Language Agents for Active Perception in Optics Laboratories

arXiv:2609.32918 · physics.optics, cs.AI, cs.CV, cs.RO · Submitted 2026-09-26 · Read on arXiv

physics.optics, cs.AI, cs.CV, cs.RO

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

Alignment — 68× in this paper · explained in 1 episode
Verification — 6× in this paper · explained in 2 episodes
Bayesian Optimization — 5× in this paper · explained in 3 episodes
Generative AI — 5× in this paper · explained in 2 episodes
Active Perception — 4× in this paper · explained in 2 episodes
Calibration — 4× in this paper · explained in 7 episodes
Vision-language models — 3× in this paper · explained in 2 episodes
Accuracy — 2× in this paper · explained in 1 episode
Bayesian Optimization (BO) — 2× in this paper · explained in 3 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Reinforcement Learning — 2× in this paper · explained in 4 episodes
Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
Acquisition Function — 1× in this paper · explained in 1 episode
Alignment Problem — 1× in this paper · explained in 1 episode
Aperture — 1× in this paper · explained in 1 episode
Digital Twin — 1× in this paper · explained in 5 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
International Conference on Automation Science and Engineering — 1× in this paper
Multimodal Inputs — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes