This paper presents a proof-of-concept study that examines the utilization of generative AI and mobile robotics for autonomous laboratory monitoring in the pharmaceutical R&D laboratory. The study investigates the potential advantages of anomaly detection and automated reporting by multi-modal model and Vision Foundation Model (VFM), which have the potential to enhance compliance and safety in laboratory environments. Additionally, the paper discusses the current limitations of the generative AI approach and proposes future directions for its application in lab monitoring.

翻译：本文提出了一项概念验证研究，探讨了生成式AI与移动机器人在制药研发实验室自主监控中的应用。研究通过多模态模型和视觉基础模型（VFM）分析了异常检测与自动报告的潜在优势，这些技术有望提升实验室环境的合规性与安全性。此外，本文讨论了当前生成式AI方法的局限性，并提出了其在实验室监控中应用的未来方向。