fNIRS-based BCI for Robot Control

Kirill Tumanov*, Rainer Goebel, Rico Möckel, Bettina Sorger, Gerhard Weiss

*Corresponding author for this work

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


Brain-Computer Interfaces (BCIs) are playing an increasingly important role in a broad spectrum of applications in health, industry, education, and entertainment. We present a novel, mobile and non-invasive BCI for advanced robot control that is based on a brain imaging method known as functional near-infrared spectroscopy (fNIRS). This BCI is based on the concept of \automated autonomous intention execution" (AutInEx), that is, the automated execution of possibly very complex actions and action sequences intended by a human through an autonomous robot.
Original languageEnglish
Title of host publicationfNIRS-based BCI for Robot Control
Publication statusPublished - 2015


  • Robotics
  • Brain-computer interface
  • Functional near-infrared spectroscopy


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