Journal article Open Access

Customizing Skills for Assistive Robotic Manipulators: An Inverse Reinforcement Learning Approach with Error-Related Potentials

Batzianoulis, Iason; Iwane, Fumi; Wei, Shupeng; Chavarriaga, Ricardo; del R. Millán, José; Billard, Aude

Robot and EEG data of the corresponding paper. The scripts for loading and reading the files in Matlab are provided in the folders. 

There are 33 EEG channels of data recorded at 512 Hz. 1 - 16 : EEG signals (Fz, FC3, FC1, FCz, FC2, FC4, C3, C1, Cz, C2, C4, CP3, CP1, CPz, CP2, CP4) 17 - 19 : EOG signals (Right HEOG, VEOG at naison, Left HEOG) 20 - 32 : not in use 33 : trigger sent from the robot Trigger 1 : start of a trial Trigger 3 : release of the joystick Trigger 0 : Rest
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