We present Neural Signal Operated Intelligent Robots (NOIR), a
general-purpose, intelligent brain-robot interface system that enables humans
to command robots to perform everyday activities through brain signals. Through
this interface, humans communicate their intended objects of interest and
actions to the robots using electroencephalography (EEG). Our novel system
demonstrates success in an expansive array of 20 challenging, everyday
household activities, including cooking, cleaning, personal care, and
entertainment. The effectiveness of the system is improved by its synergistic
integration of robot learning algorithms, allowing for NOIR to adapt to
individual users and predict their intentions. Our work enhances the way humans
interact with robots, replacing traditional channels of interaction with
direct, neural communication. Project website: https://noir-corl.github.io/