Abstract

Error-Related Potentials (ErRPs) in brain activity can provide insight into user intent prediction errors during robot teleoperation. This dataset was collected following a protocol designed to systematically acquire electroencephalography (EEG) signals while participants performed simplified virtual teleoperation and telemanipulation tasks of increasing cognitive load. Artificially induced error trials were included to enable systematic study of error responses. With synchronized triggers and command logs, the dataset enables the analysis of how cognitive load affects the occurrence, amplitude, and timing of ErRPs, supporting research in adaptive human-robot interaction. A preliminary dataset with recordings from 5 subjects is made available to the community. The data were produced in the framework of Horizon Europe INTELLIMAN project.