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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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About this book
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.
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Table of contents (8 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Autonomous Robotics and Deep Learning
Authors: Vishnu Nath, Stephen E. Levinson
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-05603-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-05602-9Published: 25 April 2014
eBook ISBN: 978-3-319-05603-6Published: 11 April 2014
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VIII, 66
Number of Illustrations: 57 b/w illustrations
Topics: Artificial Intelligence, Image Processing and Computer Vision, User Interfaces and Human Computer Interaction, Computer Imaging, Vision, Pattern Recognition and Graphics