By Eddie Wrenn
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A... tomato? The BioTac sensor can outperform humans at guessing an object by feel alone
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Researchers have developed a robot finger that is more sensitive to touch than the human hand.
The BioTac sensor was able to identify a randomly selected material 95 per cent of the time, which is a higher hit rate than a human would achieve.
It achieved the feat thanks to a fingerprint on itâs âskinâ which gave it more sensitivity to vibration than previous such machines.
It also has a soft coating similar to human tissue which is filled with a special liquid.
Even the mechanism by which is works is the same - including a âbone-like coreâ at the middle of it all.
Inside is a tiny microphone called a hydrophone which is usually used to detect noises underwater, only here it picks up vibrations.
The finger has been developed by researchers at the University of Californiaâs Viterbi School of Engineering.
Professor of Biomedical Engineering Gerald Loeb and doctoral student Jeremy Fi shel said it could one say be used for prosthetic limbs, or for advanced robots.
Along with the main sensor, the finger also has features which allow it to monitor direction and temperature.
Professor Loeb said: âThe problem weâve been asking is, how do you judge textures, and can you get a robot to do the same thing?
âIf you have ever had your fingers so numb from the cold that you couldnât feel things, your hands are almost useless, if you canât feel what youâre touching, it slips, you canât do things, itâs as if youâre paralysed.
âBy adding tactile sensing to prosthetic hands you can overcome that problem.â

The sensitive finger tip can use vibrations to detect different frequencies - leading to the 'sense of feel'
The technology is the latest example of robots attempting to carry out tasks thought to be so complex they could only be undertaken by a human.
Japanese researchers have developed a robot that can perform functions it was not programmed to do by using past experience and knowledge to make an educated guess.
The SOINN (Self-Organizing Incremental Neural Network) technology, from the Tokyo Institute of Technology, is expected to learn like a child over time.
Scientists at Tel Aviv University's Blavatnik School of Computer Science have also taught PCs how to feel âregretâ so they make better choices the next time around.
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