A system that interprets brain signals enables human operators to correct the robot’s choice in real-time. Credit: Jason Dorfman, MIT CSAIL
Baxter the robot can tell the difference between right and wrong actions without its human handlers ever consciously giving a command or even speaking a word. The robot’s learning success relies upon a system that interprets the human brain’s “oops” signals to let Baxter know if a mistake has been made.
The new twist on training robots comes from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Boston University. Researchers have long known that the human brain generates certain error-related signals when it notices
source http://www.omnipopmag.com/2017/03/06/how-to-train-your-robot-with-brain-oops-signals/
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