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