Scientists invented intelligent robots to identify themselves as mirror images

This self-consciousness represents a step toward the ultimate goal of smart robots. Robot Nico, a computer scientist at Yale University, will be tested in the next few months. The ultimate goal of the robot Nico is to use a mirror to determine the surrounding objects, just as humans use rearview mirrors to view the vehicle.


Is that me?

Justin Hart, the doctoral student in charge of the study, told the BBC news channel: "This is a spatial reasoning for the robot to understand that its arm is still on the other side of the mirror." The robot Nico has been programmed to recognize its arm image, but Mr. Hart eventually wanted to pass it through a "full-image test."

This so-called mirror test was originally formed in 1970 and has become a traditional test of self-awareness. This test is more commonly applied to animals. The organism is given the time to get used to the mirror and is then anesthetized and marked on the face with an odorless, non-tactile dye.


Justin Hart is creating a recognizable software for robotic Nico

The animal's reaction to their mirror image is used as a measure of their self-awareness, based on whether they perceive the mark on themselves or whether they think that the mark is not on them. To date, only a few non-human species have passed these tests, including some primates, elephants and dolphins. Human infants did not pass this test until 18 months old.

Scientists continue to use similar tests to analyze the robot's self-awareness, but no one has yet designed a robot program that can completely distinguish itself only from the outside. Mr. Hart said: "This test is based on appearance rather than action. I am trying to pass the full mirror test."

In a 2007 study, it was discovered that robots can distinguish movements in a mirror by distinguishing between their own and other objects' pixels. Later studies have observed how robots imitate the work of other robots, and recently the robot Qbo was set to react to different pictures and respond to special images with "this is you, Qbo."

Mr. Hart and his mentor, Brian Scassellati, are working on this research and he will announce his findings next spring. He said: "This is an important step, but it is not the final stage of artificial intelligence. It is only a step in the development process."

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