The system uses an electroencephalography (EEG) monitor to record brain activity that the system can detect when the user notices that there was an error in a robot’s object-sorting task. The machine-learning algorithms allow the system to sort brain waves in 10 to 30 milliseconds.
“Imagine being able to instantaneously tell a robot to do a certain action, without needing to type a command, push a button or even say a word,” Daniela Rus, CSAIL director and the paper’s senior author, said in a news release. “A streamlined approach like that would improve our abilities to supervise factory robots, driverless cars and other technologies we haven’t even invented yet.”
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