Robot Navigation Using Brain-Computer Interfaces

Abstract

This paper identifies the user's adaptation on brain-controlled systems and the ability to control brain-generated events in a closed neuro-feedback loop. To accomplish that, a working system has been developed based on off-the-shelf components for controlling a robot in both the real and virtual world. Using commercial Brain-Computer Interfaces (BCIs) the overall cost, set up time and complexity can be reduced. The system is divided in two prototypes based on the headset type used. The first prototype is based on the Neurosky headset and it has been tested with 54 participants. The second prototype is based on the Emotiv headset including more sensors and accuracy. Initial evaluation results indicate that robot navigation through commercial BCIs can be effective and natural.