L.A. Stankevich
PhD in Technical Sciences, Peter the Great Saint-Petersburg Polytechnical University (SPbPU), Associate Professor, Professor of System Analysis and Control Faculty, 29, Politekhnicheskaya ul., Saint-Petersburg, 195251, Russia, tel.: +7(911)751-16-56, This email address is being protected from spambots. You need JavaScript enabled to view it.

F.V. Gundelakh
SPbPU, Postgraduate Student, 29, Politekhnicheskaya ul., Saint-Petersburg, 195251, Russia, tel.: +7(911)028-12-20, This email address is being protected from spambots. You need JavaScript enabled to view it.

A new approach to supervisory control of a robot based on the non-invasive brain-computer interface, that provides decoding of brain activity signals during imagining supervisory motion control commands for robot, is considered. Solving this problem is important for rehabilitation and services for people with disabilities. To tune the control system, biological feedback is used. This kind of human-robot interaction was demonstrated by the example of supervisory control of the Nao robot.

Key words
Brain-computer interface, neural networks, support vector machine, supervisory control of the robot, biofeedback.

Bibliographic description
Stankevich, L. and Gundelakh, F. (2017). Robot Control with Brain-Computer Interface. Robotics and Technical Cybernetics, 2(15), pp.52-56.

UDC identifier


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