Autonomous Monitoring of Pharmaceutical R&D Laboratories with 6 Axis Arm Equipped Quadruped Robot and Generative AI: A Preliminary Study

Fuente: arXiv
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Auteurs principaux: Hato, Shunichi, Ogawa, Nozomi
Format: Preprint
Publié: 2024
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author Hato, Shunichi
Ogawa, Nozomi
author_facet Hato, Shunichi
Ogawa, Nozomi
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_10108
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Autonomous Monitoring of Pharmaceutical R&D Laboratories with 6 Axis Arm Equipped Quadruped Robot and Generative AI: A Preliminary Study
Hato, Shunichi
Ogawa, Nozomi
Robotics
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.
title Autonomous Monitoring of Pharmaceutical R&D Laboratories with 6 Axis Arm Equipped Quadruped Robot and Generative AI: A Preliminary Study
topic Robotics
url https://arxiv.org/abs/2403.10108