Neural Network Perception for Mobile Robot Guidance (Paperback, Softcover reprint of the original 1st ed. 1993)

Vision-based mobile robot guidance has proved difficult for classical machine vision methods because of the diversity and real-time constraints inherent in the task. This book describes a connectionist system called ALVINN (Autonomous Land Vehicle In a Neural Network) that overcomes these difficulties. ALVINN learns to guide mobile robots using the back-propagation training algorithm. Because of its ability to learn from example, ALVINN can adapt to new situations and therefore cope with the diversity of the autonomous navigation task. But real world problems like vision-based mobile robot guidance present a different set of challenges for the connectionist paradigm. Among them are: * how to develop a general representation from a limited amount of real training data; * how to understand the internal representations developed by artificial neural networks; * how to estimate the reliability of individual networks; * how to combine multiple networks trained for different situations into a single system; * how to combine connectionist perception with symbolic reasoning.Neural Network Perception for Mobile Robot Guidance presents novel solutions to each of these problems. Using these techniques, the ALVINN system can learn to control an autonomous van in under 5 minutes by watching a person drive. Once trained, individual ALVINN networks can drive in a variety of circumstances, including single-lane paved and unpaved roads, and multi-lane lined and unlined roads, at speeds of up to 55 miles per hour. The techniques also are shown to generalize to the task of controlling the precise foot placement of a walking robot.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, 239
Release date:	September 2012
First published:	1993
Authors:	Dean A. Pomerleau
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	191
Edition:	Softcover reprint of the original 1st ed. 1993
ISBN-13:	978-1-4613-6400-9
Categories:	Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-4613-6400-0
Barcode:	9781461364009

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