Vision-Language Agents for Active Perception in Optics Laboratories
Vision-language models (VLMs) are increasingly being used in scientific workflows, but their ability as agents to directly control laboratory experiments from visual feedback remains underexplored. This capability is important because many laboratory tasks do not naturally provide dense, pre-defined numerical objectives: informative signals can be sparse, intermittent, or visually ambiguous. A more general laboratory agent should instead be able to interpret visual observations, take actions to acquire useful feedback, and adapt its behavior based on the consequences of those actions. We study whether general-purpose VLMs can perform this kind of closed-loop scientific control using exper...
| Authors | Ryan Lopez, Sachin Vaidya, Seou Choi et al. |
|---|---|
| Primary category | physics.optics |
| Published | 26 September 2026 |
| Last updated at source | 26 September 2026 |
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