Data sets from CPS for ML applications
This dataset poses as a comprehensive benchmark dataset for anomaly detection in CPS. The dataset describes a state-of-the-art collaborative robot. The authors drive an extensive experimental campaign comprising 600 runs under normal operation, and 80 runs where exogenous perturbations are present. Data is collected on the robot’s joints, force-torque readings, and the time spent in each program node.
https://zenodo.org/record/5849300
| Title | Authors | Year |
|---|---|---|
| An Experimental Comparison of Anomaly Detection Methods for Collaborative Robot Manipulators | Grabaek et al. | 2023 |