A brain-computer interface lets people correct robots' mistakes using the power of their thoughts. The system uses electroencephalography (EEG) to measure a person's brain signals as they watch a robot work. When it detects a signal suggesting the person has witnessed a mistake, it alters the robot's course. The system could be used to let humans control industrial robots simply by observing them. Daniela Rus at the Massachusetts Institute of Technology and her team used an EEG headset to measure how the electrical signals in five volunteers' brains responded as they watched a robot reach towards one of two LED lights
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