The robot industry is growing, and today there are many ways to manipulate robots, such as writing programs for robots, using touch screens, or a joystick. Through artificial intelligence and machine learning technology, robots can also learn new skills.
According to the US Science and Technology News Network, researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory and Boston University have developed a new technology for manipulating robots: using the brain activity of the controller.
Researchers have developed a feedback system that “reads†the brain response of human operators while observing the various movements of the robot.
If the robot makes a mistake during a certain operation, the human operator will respond to the brain, and the feedback system will capture this information and send a control signal to the robot to correct the error immediately.
Recently, the cooperative researchers of the above two organizations shared this new robot control technology through publicly published papers.
In order to enable similar "reading" communication between the operator and the robot, the researchers asked the operator to wear a so-called "hat" of EEG, which captures detailed information about brain activity. In this way, the robot can quickly receive brain activity information from the operator and change the current operational actions.
It is reported that the above research team is led by Daniela Rus, owner of the Computer Science and Artificial Intelligence Laboratory of the Massachusetts Institute of Technology, and Frank Guenther, a professor at Boston University.
Researchers have found that when an error occurs in the operation of the robot, they can capture a signal from the operator's brain called the "error-related likelihood signal" (ErrPs). This is a natural reaction that occurs when humans see an error. It also produces a weak signal in the brain, but it can still be captured by the "hat" above.
The feedback system analyzes and categorizes these signals and submits them to the robotic system to correct them.
If the above signal is not present in the operator's brain, the robot will continue the current actions and tasks.
In the related video introduction, the above technology for manipulating robots using human brain signals can only be applied to some relatively simple scenes. However, the researchers hope to continue to optimize the feedback system, allowing operators to control the more complex operations of the robot.
It is reported that this is not the first time researchers have used EEG-related techniques to control robots. However, in the past research, human operators had to think in a specific way so that they could be recognized by computers.
The research leader, Ross, said in a statement: "If you look at the robot, all you have to do is agree or disagree with the robot. The operator does not have to train himself to think in a specific way. Will adapt to the operator, not the opposite way."
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