How to Grow a Robot: Developing Human-Friendly, Social AI

Author: Mark H. Lee
Publisher: MIT Press
Pages: 384
ISBN: 978-0262043731
Print: 0262043734
Kindle: B0874BMM14
Audience: Developers interested in how robotics and AI can be combined.
Rating: 5
Reviewer: Kay Ewbank

This book sets out to look at how robots can be more human-like, friendly and engaging.

This sounds worryingly fluffy, but Mark Lee is an engineer who has worked on iCub, a humanoid robot that developed from newborn helplessness to the ability levels of a nine-month old child.

The thinking behind this book is to ask "what's wrong with artificial intelligence",  and to look at whether developmental robots could learn empathy.

 

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The book opens with a section asking what's wrong with AI. Having described the nature of the problem and looked at existing commercially available robots and those currently being researched, Lee moves on to look at systems such as the chess playing Big Blue before examining the difference between power-based systems and knowledge-based systems. This part of the book ends with a look at neural networks and related work, and how all the techniques described so far can be combined.

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Part Two of the book is titled 'robots that grow and develop, with interesting chapters on cybernetics, growing your own robot using ontogeny, and the work Lee was involved with on iCub,

The final part of the book asks where we go from here. Lee hypothesizes how developmental robots will develop in terms of self awareness, consciousness and communication, then looks at how AI and AI-robots are developing. This includes ideas such as human-level AI, and artificial human intelligence. There's an interesting chapter on how to understand future technology with sections on deep networks and autonomous learning; trust, validation and safety, and ethics. The book closes with a chapter on futurology and science fiction that provides a thought provoking end.

I enjoyed reading this book. It made me think as well as giving a clear framework on where robotics are now. I don't think developers working in robotics would learn a great deal from the book, but If you're interested in robotics more casually, either as an area for work or just as something we all come into contact with, I can recommend it.

 

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Python 3 For Machine Learning

Author: Oswald Campesato
Publisher: Mercury Learning
Pages: 364
ISBN: 978-1683924951
Print: 1683924959
Kindle: B084P6L424
Audience: Python developers interested in machine learning
Rating: 4
Reviewer: Mike James
Python is the language most used for AI, so why not learn both in one book?



Web Scraping with Python (2e)

Author: Ryan Mitchell 
Publisher: O'Reilly
Pages: 308
ISBN: 978-491985571
Print: 1491985577
Kindle: B07BMGBYSK
Audience: Budding web scrapers
Rating: 4
Reviewer: Alex Armstrong

Web scraping is a strange activity, but Python is a good choice of a language for it.


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Last Updated ( Tuesday, 12 January 2021 )