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Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments (Synthesis Lectures on Computer Science) [9783032120021]

Hardcover
SKU: 9783032120021
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Format Sturdy and long-lasting. Ideal for libraries and classrooms, and a polished choice for corporate gifts, leadership programs, or event takeaways.

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Overview

This Second Edition provides an essential resource that robotics researchers and engineers can use to make their robots smarter. This book includes design guidelines and helpful examples from state-of-the-art research. The author utilizes a systems engineering perspective in which metareasoning is an approach that can improve the overall robot or autonomous system, not just one component or subsystem. The book introduces key concepts, discusses design options for metareasoning approaches and policies, and describes the process of developing and testing metareasoning approaches. This new edition includes new research, new examples, and added discussion of adjustable autonomy and competence-aware systems.



The book, Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments (Synthesis Lectures on Computer Science) [Bulk, Wholesale, Quantity] ISBN#9783032120021 in Hardcover by Jeffrey W. Herrmann may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Jeffrey W. Herrmann
Format:
Hardcover
Publication Date:
01/10/2026
ISBN-13:
9783032120021
Pages:
106
Publisher:
Springer Nature Switzerland

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