Reliable plan selection by intelligent machines:

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 f...

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Hauptverfasser: MacInroy, John E. (VerfasserIn), Musto, Joseph C. (VerfasserIn), Saridis, George N. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Singapore [u.a.] World Scientific 1995
Schriftenreihe:Series in intelligent control and intelligent automation 1
Schlagworte:
Zusammenfassung: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 be performed 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
Beschreibung:IX, 154 S. graph. Darst.
ISBN:9810223366

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