scientists have used binary-responsive artificial skin for a variety of applications, including manipulating virtual game characters, navigating electronic maps, and scrolling through electronic documents.

Different signals can be detected by the artificial skin on different approaching targets, which makes it possible for non-contact object identification.

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Avans presents a proof-of-concept application to demonstrate a robot to classify materials including polymers, metals and human skin in a completely non-contact mode. Such artificial skin could be used in next-generation engineering electronics with potential for human-machine interface, artificial intelligence, prosthetics and augmented reality, the researchers note.


“We have created an artificial skin with better sensing capabilities than human skin. Unlike human skin, which senses most information from tactile movements, this artificial skin also acquires rich cognitive information encoded in non-touch or impending operations,” says corresponding author Yifan Wang. Nanyang Technological University, Singapore.

“The work could lead to a new generation of robotic perception technologies that outperform existing tactile sensors.”

Source: Eurekalert

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