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Book Cover
Author Nath, Vishnu, author

Title Autonomous robotics and deep learning / Vishnu Nath and Stephen E. Levinson
Published Cham ; New York : Springer, [2014]
Online access available from:
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Description 1 online resource
Series SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in computer science. 2191-5768
Contents Introduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Experimental Results -- Future Direction
Summary 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
Bibliography Includes bibliographical references
Notes English
PDF title page (viewed April 22, 2014)
Subject Robotics.
Form Electronic book
Author Levinson, Stephen E., author
ISBN 9783319056036 (electronic bk.)
3319056034 (electronic bk.)
3319056026 (print)
9783319056029 (print)