As it stated in The video will load shortly A feedback system developed at MIT enables human operators to correct a robot’s choice in real-time using only brain signals.
To do that, they focused on brain signals called “error-related potentials” (ErrPs), which are generated whenever our brains notice a mistake.
Explore further: Robot uses social feedback to fetch objects intelligentlyMore information: Correcting Robot Mistakes in Real Time Using EEG Signals: groups.csail.mit.edu/drl/wiki/images/e/ec/Correcting_Robot_Mistakes_in_Real_Time_Using_EEG_Signals.pdf
A new system from CSAIL uses EEG brain signals to detect if a person notices robots making a mistake.
A new feedback system enables human operators to correct a robot’s choice in real-time.
“These signals can dramatically improve accuracy, creating a continuous dialogue between human and robot in communicating their choices.”
Instead, the team focused on error-related potentials or ErrPs, which are generated when the human brain notices what it regards as a mistake.
As the robot indicates which choice it plans to make, the system uses ErrPs, read via the machine-learning algorithms, to determine whether the human agrees with the decision.
The robot, picking up the reading from the machine learning algorithms could then correct their behaviour.
“As you watch the robot, all you have to do is mentally agree or disagree with what it is doing.
collected by :Molly Tony