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Behavior Learning with Constructive Neural Networks in Mobile Robotics: Robot Behavior Learning: Algorithms and Experiments - Brossura
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In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots.
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L'autore
Dr. Li Jun is currently with the College of Automation, Chongqing University, China. He received his PhD degree from the Center for Applied Autonomous Sensor Systems, Örebro University, Sweden. His research interests include learning control, mobile robots, artificial neural networks, reinforcement learning, machine learning, and automatic control.
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Behavior Learning with Constructive Neural Networks in Mobile Robotics
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LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838380061
ISBN 13: 9783838380063
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots. 156 pp. Englisch. Codice articolo 9783838380063
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Behavior Learning with Constructive Neural Networks in Mobile Robotics
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380061
ISBN 13: 9783838380063
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li JunDr. Li Jun is currently with the College of Automation, Chongqing University, China. He received his PhD degree from the Center for Applied Autonomous Sensor Systems, Oerebro University, Sweden. His research interests include le. Codice articolo 5418279
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Behavior Learning with Constructive Neural Networks in Mobile Robotics : Robot Behavior Learning: Algorithms and Experiments
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380061
ISBN 13: 9783838380063
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots. Codice articolo 9783838380063
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Behavior Learning with Constructive Neural Networks in Mobile Robotics
Editore:
LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838380061
ISBN 13: 9783838380063
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch. Codice articolo 9783838380063
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Behavior Learning with Constructive Neural Networks in Mobile Robotics | Robot Behavior Learning: Algorithms and Experiments
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LAP LAMBERT Academic Publishing, 2013
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ISBN 13: 9783838380063
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Taschenbuch. Condizione: Neu. Behavior Learning with Constructive Neural Networks in Mobile Robotics | Robot Behavior Learning: Algorithms and Experiments | Jun Li | Taschenbuch | 156 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783838380063 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 107485894
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Behavior Learning with Constructive Neural Networks in Mobile Robotics: Robot Behavior Learning: Algorithms and Experiments
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838380061
ISBN 13: 9783838380063
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79038383800616
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