Description

Book Synopsis
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.

Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery—but they aren't good conversationalists. It's difficult to make eye contact. 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.

Developments in artificial intelligence—notably Deep Learning—are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match-winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive—more like humans and less like computers, more social than mac

How to Grow a Robot Developing HumanFriendly

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    A Hardback by Mark H. Lee

    10 in stock

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      Publisher: MIT Press Ltd
      Publication Date: 28/04/2020
      ISBN13: 9780262043731, 978-0262043731
      ISBN10: 0262043734

      Description

      Book Synopsis
      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.

      Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery—but they aren't good conversationalists. It's difficult to make eye contact. 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.

      Developments in artificial intelligence—notably Deep Learning—are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match-winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive—more like humans and less like computers, more social than mac

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