Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments - Softcover

Buch 4 von 13: Synthesis Lectures on Computer Science

Herrmann, Jeffrey W.

 
9783031322389: Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments

Inhaltsangabe

This book is a state of the art resource that robotics researchers and engineers can use to make their robots and autonomous vehicles smarter. Readers will be able to describe metareasoning, select an appropriate metareasoning approach, and synthesize metareasoning policies. Metareasoning for Robots adopts 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. This book introduces key concepts, discusses design options for metareasoning approaches and policies, and presents approaches for testing and evaluation of metareasoning policies. After considering the conceptual design phase, it discusses how to implement metareasoning in the robot's software architecture and how to synthesize metareasoning policies.  Every chapter has references to valuable works on robotics and metareasoning, and the book uses examples from the author's own research andfrom other research groups to illustrate these ideas. In addition, this book provides links to books and papers for readers who wish to investigate these topics further.  


Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Weitere beliebte Ausgaben desselben Titels

9783031322365: Metareasoning for Robots: Adapting in Dynamic and Uncertain Environments (Synthesis Lectures on Computer Science)

Vorgestellte Ausgabe

ISBN 10:  3031322363 ISBN 13:  9783031322365
Verlag: Springer, 2023
Hardcover