Autonomous Robotics and Deep Learning by Vishnu NathAutonomous Robotics and Deep Learning by Vishnu Nath

Autonomous Robotics and Deep Learning

byVishnu Nath, Stephen E. Levinson

Paperback | April 25, 2014

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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.
Title:Autonomous Robotics and Deep LearningFormat:PaperbackDimensions:70 pagesPublished:April 25, 2014Publisher:Springer International PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319056026

ISBN - 13:9783319056029

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Table of Contents

Introduction.- Overview of Probability and Statistics.- Primer on Matrices and Determinants.- Robot Kinematics.- Computer Vision.- Machine Learning.- Experimental Results.- Future Direction.