Reliable Plan Selection Intelligent Machines by John E. McInroy

ISBN: 9781299635647

Published: May 10th 2014


165 pages


Reliable Plan Selection  by  Intelligent Machines by John E. McInroy

Reliable Plan Selection by Intelligent Machines by John E. McInroy
May 10th 2014 | ebook | PDF, EPUB, FB2, DjVu, AUDIO, mp3, RTF | 165 pages | ISBN: 9781299635647 | 8.44 Mb

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.Contents: Selecting Reliable Plans: An IntroductionCalculating Reliability in Multi-Dimensional SystemsA Review of Entropy MethodsApplication to Pose AlgorithmsReliability Optimization of Single-Input Control SystemsReliability Estimation TechniquesReliability Estimation for Complex Tasks and SystemsCase Study: Robotic Assembly SystemReflections on the State of the ArtReadership: Robotics engineers.

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