Electronic Skin | Now even the robot will feel the touch like a human
American scientists have succeeded in creating electronic skin. This skin is considered to be suitable for the new generation of smart robots. What makes it special is that it can feel the pain as well as touch and learn from it.
Mumbai, June 9: Robots are sure to be a part of the future of human civilization. How soon this will happen can be discussed. Attempts are being made to fill robots with a variety of human features. They can now speak and hear, even developing the ability to understand human gestures. Scientists have developed a new type of electronic skin to develop a new generation of smart robots with human sensitivity. This e-skin (Electronic Skin) can also learn the ability to recognize pain
Researchers at the University of Glasgow have worked to develop this unique skin. He named this component Computational Electronic Skin. It is basically a kind of synthetic thread in which a new type of processing mechanism has been installed. This system is based on synaptic transistors. Which acts exactly like the neural pathways of the brain. Through this the robot can learn to feel pain.
Skin Reaction Ability:-
Research has shown that this skin also has the ability to learn to respond to external stimuli. Until now, scientists have been working for years on developing touch-sensitive artificial skin for long-term robots. Most of the work has been done on surface contact or pressure sensing methods.
Old sensor problem:-
Whenever these sensors come in contact with an object, they send data to a computer that processes this information and then responds. It sounds smart, but this method causes delayed reactions that reduce the effectiveness of the skin in real-world activities.
What is the solution to this problem?
To overcome this problem, researchers in Glasgow took inspiration from the skin of the human superficial nervous system, interpreting them and getting rid of problems such as procrastination and energy use. Whenever your skin is affected, your superficial nervous system begins to process its contact points. With the help of this, it converts it into important information reaching the brain.
What is the benefit of this?
Scientists say the idea of learning locally greatly reduces sensory data. Due to the low data, communication channels are used efficiently and your brain perceives touch sensations quickly, that is, it receives touch information quickly.
With this idea, the Bendable Electronics and Sensing Technology (BEST) group, led by Professor Ravinder Dahiya, worked on a model that could function similarly to the functions of the sensory nerves in humans. The experts created a grid of 168 synaptic transistors made from zinc oxide nanowires and mounted them directly on the flexible surface of the plastic.
They then implanted a skin-sensing synaptic transistor into a human-sized robotic arm that automatically retreats at the touch of a robotic arm. The robot’s response also depended on the intensity of the stimulus. Dahiya said he believes his move is a real step toward the mass production of neuromorphic printed electronic skin.