Researchers at Stanford Use Brain Signals to Control Intelligent Robots

In a paper presented at the 7th Annual Conference on Robot Learning last November, a team of Stanford University researchers presented an intelligent human brain-robot interface that enables controlling a robot through brain signals. Dubbed NOIR, short for Neural Signal Operated Intelligent Robots, the system uses electroencephalography (EEG) to communicate human intentions to the robots.

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