
Humans Can Now Correct Robots With Brainwaves (popularmechanics.com) 31
Researchers at MIT have built a system that allows robots to be corrected through thought and hand gestures. "The system monitors brain activity, determining if a person has noticed an error in the machine's work," reports Popular Mechanics. "If an error is detected, the system reverts over to human control. From that point, all it takes is a flick of the wrist to get the robot back on the right course." From the report: "This work combining EEG and EMG feedback enables natural human-robot interactions for a broader set of applications than we've been able to do before using only EEG feedback. By including muscle feedback, we can use gestures to command the robot spatially, with much more nuance and specificity," says CSAIL Director Daniela Rus, who supervised the work, in a press statement. EEG refers to electroencephalography, a type of biofeedback which uses real-time displays of brain activity to each self-regulation to the brain. EMG feedback refers to electromyography, which is the recording of the electrical activity of muscle tissue.
Earlier brain recognition systems required people to think in highly specific ways to achieve EEG or EMG recognition. What Rus' team realized is that when the human brain recognizes an error, it automatically releases a very specific signal all on its own. These signals are called error-related potentials (ErrPs). When the robotic system notices an ErrP signal in the human brain, it turns the robot over to human control.
Earlier brain recognition systems required people to think in highly specific ways to achieve EEG or EMG recognition. What Rus' team realized is that when the human brain recognizes an error, it automatically releases a very specific signal all on its own. These signals are called error-related potentials (ErrPs). When the robotic system notices an ErrP signal in the human brain, it turns the robot over to human control.