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How to Grow a Robot: Developing Human-Friendly, Social AI - Mark H. Lee - Mark H. Lee


How to Grow a Robot: Developing Human-Friendly, Social AI - Mark H. Lee
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(30-09-2024)
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How to develop robots that will be more like humans and less like computers, more Social than machine-like, and more playful and less programmed.
That is the kind of future technology we should work toward..
Developmental robots, with an internal model of self, will be better interactive partners with humans.
AI robots are designed to know humans as objects; developmental robots will learn empathy.
He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a nine-month-old, explaining how the iCub learns from its own experiences.
After describing what\'s wrong with artificial intelligence (one key shortcoming: it\'s not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior.
The way to achieve this, he argues, is to Grow a robot so that it learns from experience--just as infants do.
But, Lee writes, we need robots that are perceptive, animated, and responsive--more like humans and less like computers, more Social than machine-like, and more playful and less programmed.
These advances have already brought us self-driving cars and chess match-winning algorithms.
Developments in artificial intelligence--notably Deep Learning--are widely seen as the foundation on which our robot future will be built.
If the future promises more human-robot collaboration in both work and play, wouldn\'t it be better if the robots were less mechanical and more social? In How to Grow a Robot , Mark Lee explores how robots can be more human-like, friendly, and engaging.
It\'s difficult to make eye contact.
They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery--but they aren\'t good conversationalists.
Most robots are not very friendly.
How to develop robots that will be more like humans and less like computers, more Social than machine-like, and more playful and less programmed


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