This book derives techniques which allow reliable plans to be automatically selected by Intelligent Machines. It concentrates on the uncertainty analysis of candidate plans so that a highly reliable candidate may be identified and used. For robotic components, such as a particular vision algorithm for pose estimation or a joint controller, methods are explained for directly calculating the reliability. However, these methods become excessively complex when several components are used together to complete a plan. Consequently, entropy minimization techniques are used to estimate which complex tasks will perform reliably. The book first develops tools for directly calculating the reliability of sub-systems, and methods of using entropy minimization to greatly facilitate the analysis are explained. Since these sub-systems are used together to accomplish complex tasks, the book then explains how complex tasks can be efficiently evaluated.
John E Mclnroy & Joseph C Musto
RELIABLE PLAN SELECTION BY INTEL… (V1) [PDF ebook]
RELIABLE PLAN SELECTION BY INTEL… (V1) [PDF ebook]
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Språk Engelska ● Formatera PDF ● Sidor 164 ● ISBN 9789812830791 ● Filstorlek 18.7 MB ● Utgivare World Scientific Publishing Company ● Stad Singapore ● Land SG ● Publicerad 1996 ● Nedladdningsbara 24 månader ● Valuta EUR ● ID 2447564 ● Kopieringsskydd Adobe DRM
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