Téléchargez le livre : Autonomous Robotics and Deep Learning

Autonomous Robotics and Deep Learning

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2014-04-11

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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.
Pages
66 pages
Collection
SpringerBriefs in Computer Science
Parution
2014-04-11
Marque
Springer
EAN papier
9783319056029
EAN EPUB
9783319056036
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
4680 Ko
Prix
52,74 €

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