Chemist Eye: Experimental Assets for Safety Monitoring in Self-Driving Laboratories

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Authors: Francisco Munguia Galeano, Zhengxue Zhou, Satheeshkumar Veeramani, Hatem Fakhruldeen, Louis Longley, Rob Clowes, Cooper, Andrew
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Abstract

This Zenodo repository contains CAD files, ROS bag recordings, and image datasets used in the Chemist Eye system for laboratory safety monitoring and robot decision-making. The assets support full reproducibility of the experiments presented in the associated publication. ExtendedDataset contains 900 images categorised in three clases, NORMAL, PPE and PRONE as well as the python scripts necessary to reproduce the results, each experiment contains the images classified automatically by the VLM and YOLOpose. The images extend the original Dataset by including multiple people and oclussions.

Fields of Study & Subjects

Advanced Neural Network Applications Robot Manipulation and Learning Chemical Safety and Risk Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Document type
Dataset