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Autonomous Robotics and Deep Learning: SpringerBriefs in Computer Science

Autor Vishnu Nath, Stephen E. Levinson
en Limba Engleză Paperback – 25 apr 2014
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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Specificații

ISBN-13: 9783319056029
ISBN-10: 3319056026
Pagini: 66
Ilustrații: VIII, 66 p. 57 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.12 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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

Caracteristici

Includes supplementary material: sn.pub/extras