Autonomous Robotics and Deep Learning

Autonomous Robotics and Deep Learning

Description

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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Details

Author(s)
Vishnu Nath, Stephen E. Levinson
Format
Paperback | 66 pages
Dimensions
155 x 235 x 4.06mm | 1,299g
Publication date
30 Apr 2014
Publisher
Springer International Publishing AG
Publication City/Country
Cham, Switzerland
Language
English
Edition Statement
2014 ed.
Illustrations note
1 Tables, black and white; 57 Illustrations, black and white; VIII, 66 p. 57 illus.
ISBN10
3319056026
ISBN13
9783319056029
Bestsellers rank
2,958,034