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Reliable Plan Selection By Intelligent Machines, PDF eBook

PDF

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Description

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.

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