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According to foreign media reports, scientists recently developed a mechanical finger that is more sensitive than human fingers. This sensor, called BioTac, has a high recognition rate of 95% for various objects, far exceeding human judgment. Fingerprints on the “skin†of the mechanical finger give it excellent precision, and the sensitivity of the mechanical finger is undoubtedly superior to previous mechanical devices.
According to reports, similar to human tissues, there is a layer of skin filled with special liquids on the mechanical fingers. The working principle is exactly the same as that of humans. The central part of the "skeleton core" controls the movement of the mechanical fingers. In an underwater environment, a mechanical finger senses vibrations by recognizing objects by relying on a built-in miniature microphone called a hydrophone.
The mechanical finger is from the University of Southern California School of Engineering's research. Gerald Loeb and Ph.D. Jeremy Fishel, professors of biomedical engineering, said the study can be used for the study of medical prostheses or advanced robots. With sensors, mechanical fingers can also sense the direction of force and monitor temperature. Professor Rebber said, “People always ask us how people judge the material of objects, and can we make robots do the same thing? If cold makes your fingers numb, you can't feel anything Your hand is basically useless, for example, if you are paralyzed, you can't feel what you touch, you can't do anything. Fortunately, by wearing a sensor with a touch Prosthetics, you can solve this problem."
It is reported that this technology is the latest achievement in robot research, which will help robots to replace humans to accomplish some things. These things are often too complicated to be considered only human beings can accomplish. Previously, Japanese scientists also invented a robot that did not rely on prior programming, but instead relyed on past experience and knowledge to make reasonable judgments in order to achieve a series of functions. This is a technology developed by the Tokyo Institute of Technology that has become a self-organizing incremental learning neural network (SOINN), enabling robots to learn and grow like children.
At present, scientists at the Blavatnik Institute of Computer Science at the University of Tel Aviv in Tel Aviv have also developed a technology that allows computers to feel "regret" so that they can make better choices in their next judgment. (Shang Li)
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