What a Robot Sees in a Mirror?: Self-Recognition of an Anthropomorphic Robot using the Mirror Test

Devangini Patel

ISBN 10: 3659913707 / ISBN 13: 9783659913709

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

100 pages. 8.66x5.91x0.23 inches. In Stock.

Seller Inventory # 3659913707

Bibliographic Details

• Title: What a Robot Sees in a Mirror?: Self-Recognition of an Anthropomorphic Robot using the Mirror Test
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659913707
• ISBN 13: 9783659913709
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Is it possible to make robots self-conscious? Igor Aleksander, an emeritus professor of Neural Networks at Imperial College, proposed five axioms to define consciousness; one of them being self-awareness. Mirror test was initially discovered by Charles Darwin and later developed by Gordon Gallup to understand if animals are self-aware. Only certain animals including chimpanzees, pigs, elephants and dolphins are able to identify themselves whereas pets like cats, dogs and babies under 18 months are incapable. Gallup claims that for oneself to recognize themself, they must understand proprioceptive information and kinesthetic feedback and apply them on its vision system in-order to guide the movement of its limbs in front of a mirror. This book discusses about how this pyshchological concept has been developed using Artificial Intelligence algorithms. This system has been designed for an anthropomorphic robot which has 16 facial muscles for facial expressions. The book covers the technical details related to these AI algorithms, design of the system, experiments conducted and the results.

About the Author

Devangini Patel is a researcher and developer in the fields of Artificial Intelligence, Computer Vision, Facial Expressions and Deep Learning. She studied Master of Science in Artificial Intelligence at University of Southampton, UK in 2013. She researched about analyzing true emotions using facial micro-expressions at University of Oulu, Finland.