Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments

Author:   Jeffrey W. Herrmann
Publisher:   Springer Nature Switzerland AG
Edition:   Second Edition 2026
ISBN:  

9783032120021


Pages:   106
Publication Date:   10 January 2026
Format:   Hardback
Availability:   In Print   Availability explained
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Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments


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.

Full Product Details

Author:   Jeffrey W. Herrmann
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   Second Edition 2026
ISBN:  

9783032120021


ISBN 10:   3032120020
Pages:   106
Publication Date:   10 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Metareasoning.- Metareasoning Design Options.- Implementing Metareasoning.- Synthesizing Metareasoning Policies.- Testing Metareasoning Policies.

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Author Information

Jeffrey W. Herrmann, Ph.D., is the St. Abbo of Fleury Chair in Engineering and an Ordinary Professor in the Department of Mechanical Engineering at the Catholic University of America. He earned earned his B.S. in Applied Mathematics from Georgia Institute of Technology and his Ph.D. in Industrial and Systems Engineering from the University of Florida, as a National Science Foundation Graduate Research Fellow. Dr. Herrmann was previously a faculty member of the Department of Mechanical Engineering and the Institute for Systems Research at the University of Maryland. He is a member of the Society of Catholic Scientists, ASME, and IISE.

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