  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.
