Human brain scanning used to correct robot mistakes
by noreply@blogger.com (brian wang) from NextBigFuture.com on (#2F7K7)
Using data from an electroencephalography (EEG) monitor that records brain activity, a MIT system can detect if a person notices an error as a robot performs an object-sorting task. The team's novel machine-learning algorithms enable the system to classify brain waves in the space of 10 to 30 milliseconds.
While the system currently handles relatively simple binary-choice activities, the paper's senior author says that the work suggests that we could one day control robots in much more intuitive ways.
"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," says CSAIL Director Daniela Rus. "A streamlined approach like that would improve our abilities to supervise factory robots, driverless cars, and other technologies we haven't even invented yet."
A new system from CSAIL uses EEG brain signals to detect if a person notices robots making a mistake. Photo: Jason Dorfman/MIT CSAIL
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While the system currently handles relatively simple binary-choice activities, the paper's senior author says that the work suggests that we could one day control robots in much more intuitive ways.
"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," says CSAIL Director Daniela Rus. "A streamlined approach like that would improve our abilities to supervise factory robots, driverless cars, and other technologies we haven't even invented yet."
A new system from CSAIL uses EEG brain signals to detect if a person notices robots making a mistake. Photo: Jason Dorfman/MIT CSAIL
Read more