Human-robot interaction using brain-computer interface based on EEG signal decoding

Lev Stankevich, Konstantin Sonkin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This study describes a new approach to a problem of the human-robot interaction for remote control of robot behavior. Finding a solution to this problem is important for providing control of robots and unmanned vehicles. At the interaction a human operator can form commands for robot control. It is proposed to use a noninvasive brain-computer interface based on the decoding of signals of brain activity during motor imagery to generate the supervisor commands for robot control. The principles of the interaction of human as an operator and robot as an executor are considered. Using the brain-computer interface the operator can change robot behavior without any special movements and modules embedded into robot’s program. The study aimed to development of the humanrobot interaction system for non-direct control of the robot behavior based on the brain-computer interface for classification of EEG patterns of imaginary movements of one hand fingers in real-time. Example of such human-robot interaction realization for Nao robot with neurofeedback is considered.

Original languageEnglish
Title of host publicationInteractive Collaborative Robotics - 1st International Conference, ICR 2016, Proceedings
EditorsGerhard Rigoll, Roman Meshcheryakov, Andrey Ronzhin
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319439549
StatePublished - 2016
Externally publishedYes
Event1st International Conference on Interactive Collaborative Robotics, ICR 2016 - Budapest, Hungary
Duration: 24 Aug 201626 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Interactive Collaborative Robotics, ICR 2016


  • Brain-computer interface
  • Classifier committee
  • Human-robot interaction
  • Imaginary finger movements


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