Metareasoning for Robots Metareasoning for Robots
Synthesis Lectures on Computer Science

Metareasoning for Robots

Adapting in Dynamic and Uncertain Environments

    • USD 39.99
    • USD 39.99

Descripción editorial

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

GÉNERO
Técnicos y profesionales
PUBLICADO
2026
9 de enero
IDIOMA
EN
Inglés
EXTENSIÓN
123
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
10.1
MB
Metareasoning for Robots Metareasoning for Robots
2023
Engineering Decision Making and Risk Management Engineering Decision Making and Risk Management
2015
Handbook of Production Scheduling Handbook of Production Scheduling
2006
Influence Models in Group Decision-Making Influence Models in Group Decision-Making
2025
Smart City Standardization Smart City Standardization
2025
Blockchain Platforms Blockchain Platforms
2025
Transforming Healthcare with Artificial Intelligence Transforming Healthcare with Artificial Intelligence
2025
Graph Mining Graph Mining
2025
A Beginner’s Guide to Generative AI A Beginner’s Guide to Generative AI
2025