Published January 24, 2020 | Version v1
Journal article Open

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

  • 1. École polytechnique fédérale de Lausanne (EPFL)
  • 2. École polytechnique fédérale de Lausanne (EPFL), University of Texas at Austin, University of Texas
  • 3. École polytechnique fédérale de Lausanne (EPFL), University of Texas at Austin

Description

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

Notes

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

Files

eeg_data.zip

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