[ExI] This Is How We’ll Engineer Artificial Touch

[John Grigg]

"In a new article <https://science.sciencemag.org/content/370/6518/768> in
*Science*, Dr. Subramanian Sundaram at Boston and Harvard University argues
that it’s high time to rethink robotic touch. Scientists have long dreamed
of artificially engineering robotic hands with the same dexterity and
feedback that we have. Now, after decades, we’re at the precipice of a
breakthrough thanks to two major advances. One, we better understand how
touch works in humans. Two, we have the mega computational powerhouse
called machine learning
<https://singularityhub.com/2020/05/17/openai-finds-machine-learning-efficiency-is-outpacing-moores-law/>
to recapitulate biology in silicon.

Robotic hands with a sense of touch—and the AI
<https://singularityhub.com/tag/artificial-intelligence/> brain to match
it—could overhaul our idea of robots. Rather than charming, if somewhat
clumsy, novelties, robots equipped with human-like hands are far more
capable of routine tasks—making food, folding laundry—and specialized
missions like surgery or rescue. But machines aren’t the only ones to gain.
For humans, robotic prosthetic hands equipped with accurate, sensitive, and
high-resolution artificial touch is the next giant breakthrough to
seamlessly link a biological brain to a mechanical hand."
https://singularityhub.com/2020/11/17/this-is-how-well-engineer-artificial-touch/
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