Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments (Synthesis Lectures on Computer Science) - Hardcover

Herrmann, Jeffrey W.

Hardcover

ISBN 10: 3032120020 ISBN 13: 9783032120021

Publisher: Springer, 2026

Synopsis

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.

About this title

About the Author

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.

From the Back Cover

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.

In addition, this book:

• Features design guidelines that researchers and engineers can use to make their robots smarter
• Illustrates the concepts using examples from state-of-the-art research, including the authors’ own
• Includes discussion of implementation issues and suggestions for how they can be resolved

Edition details

• Publisher: Springer
• Publication date: 2026
• Language: English
• ISBN 10: 3032120020
• ISBN 13: 9783032120021
• Binding: Hardcover
• Edition number: 2
• Number of pages: 123