Autonomous Robotics and Deep Learning - Brossura
Libro 132 di 322: SpringerBriefs in Computer Science
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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Introduction.- Overview of Probability and Statistics.- Primer on Matrices and Determinants.- Robot Kinematics.- Computer Vision.- Machine Learning.- Experimental Results.- Future Direction.
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Nath:Autonomous Robotics and Deep Learn (eng)
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Autonomous Robotics and Deep Learning
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Springer International Publishing Apr 2014, 2014
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ISBN 13: 9783319056029
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch. Codice articolo 9783319056029
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Autonomous Robotics and Deep Learning
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Autonomous Robotics and Deep Learning
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Autonomous Robotics and Deep Learning
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Springer, Palgrave Macmillan Apr 2014, 2014
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 76 pp. Englisch. Codice articolo 9783319056029
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Autonomous Robotics and Deep Learning
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Springer International Publishing, 2014
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ISBN 13: 9783319056029
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783319056029
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Taschenbuch. Condizione: Neu. Autonomous Robotics and Deep Learning | Vishnu Nath (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | viii | Englisch | 2014 | Springer | EAN 9783319056029 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 105431028
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