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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Neural Networks in Robotics (Paperback, Softcover reprint of the original 1st ed. 1993) Loot Price: R5,220
Discovery Miles 52 200
Neural Networks in Robotics (Paperback, Softcover reprint of the original 1st ed. 1993): George A. Bekey, Kenneth Y. Goldberg

Neural Networks in Robotics (Paperback, Softcover reprint of the original 1st ed. 1993)

George A. Bekey, Kenneth Y. Goldberg

Series: The Springer International Series in Engineering and Computer Science, 202

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Loot Price R5,220 Discovery Miles 52 200 | Repayment Terms: R489 pm x 12*

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Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is to build robots which can emulate the ability of living organisms to integrate perceptual inputs smoothly with motor responses, even in the presence of novel stimuli and changes in the environment. The ability of living systems to learn and to adapt provides the standard against which robotic systems are judged. In order to emulate these abilities, a number of investigators have attempted to create robot controllers which are modelled on known processes in the brain and musculo-skeletal system. Several of these models are described in this book. On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming. Some of the computational advantages and problems of this approach are also presented. For any serious student of robotics, Neural Networks in Robotics provides an indispensable reference to the work of major researchers in the field. Similarly, since robotics is an outstanding application area for artificial neural networks, Neural Networks in Robotics is equally important to workers in connectionism and to students for sensormonitor control in living systems.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: The Springer International Series in Engineering and Computer Science, 202
Release date: October 2012
First published: 1993
Editors: George A. Bekey • Kenneth Y. Goldberg
Dimensions: 235 x 155 x 30mm (L x W x T)
Format: Paperback
Pages: 563
Edition: Softcover reprint of the original 1st ed. 1993
ISBN-13: 978-1-4613-6394-1
Categories: Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 1-4613-6394-2
Barcode: 9781461363941

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