Self-Assessment of Robotic Laboratory and Equipment Readiness Using Large Language Models and Robotic Data Capture
This study explores the potential of automating robotic laboratory readiness assessment by integrating Large Language Models (LLMs) with robotic data acquisition. It investigates the capability of LLMs to detect equipment motion and operational status using visual and auditory information. Despite t…