Metareasoning for Robots

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Metareasoning for Robots

Adapting in Dynamic and Uncertain Environments

Automatic control engineering Robotics Automotive technology and trades Artificial intelligence Machine learning

Author: Jeffrey W. Herrmann

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Collection: Synthesis Lectures on Computer Science

Language: English

Published by: Springer

Published on: 9th January 2026

Format: LCP-protected ePub

ISBN: 9783032120038


Overview

This Second Edition provides an essential resource that robotics researchers and engineers can use to make their robots smarter.

Content Highlights

This book includes design guidelines and helpful examples from state-of-the-art research.

Approach

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.

Key Concepts

The book introduces key concepts, discusses design options for metareasoning approaches and policies, and describes the process of developing and testing metareasoning approaches.

New Edition Features

This new edition includes new research, new examples, and added discussion of adjustable autonomy and competence-aware systems.

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