Series In Intelligent Control And Intelligent Automation: Reliable Plan Selection By Intelligent Machines (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: George N Saridis , John E Mclnroy , Joseph C Musto
- 1996, 164 Seiten, Englisch
- Verlag: World Scientific Publishing Company
- ISBN-10: 9812830790
- ISBN-13: 9789812830791
- Erscheinungsdatum: 29.02.1996
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