RELIABLE PLAN SELECTION BY INTEL... (V1)
| By: | Mclnroy John E; Musto Joseph C; Saridis George N |
| Publisher: | World Scientific Publishing |
| Print ISBN: | 9789810223366 |
| eText ISBN: | 9789812830791 |
| Edition: | 0 |
| Format: | Page Fidelity |
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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.