Neural Networks in Robotics true
By:George Bekey,Kenneth Y. Goldberg
Published on 1992-11-30 by Springer Science & Business Media
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.
This Book was ranked at 32 by Google Books for keyword Robotics.
Book ID of Neural Networks in Robotics's Books is d9HpQBWRcXoC, Book which was written byGeorge Bekey,Kenneth Y. Goldberghave ETAG "TkwQOqrV7E4"
Book which was published by Springer Science & Business Media since 1992-11-30 have ISBNs, ISBN 13 Code is 9780792392682 and ISBN 10 Code is 079239268X
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Book which have "563 Pages" is Printed at BOOK under CategoryTechnology and Engineering
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