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Springer Smart Maintenance Human-Robot Interaction - AI Systems Book

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Description

Explore intelligent search algorithms and maintenance strategies for human-robot interaction systems with this comprehensive academic volume from Springer. Part of the Studies in Systems, Decision and Control series (Volume 129), this book examines cutting-edge approaches to optimizing robot performance and safety in collaborative environments. Written for researchers, engineers, and advanced students in artificial intelligence and robotics, it combines theoretical foundations with practical algorithmic perspectives to address real-world challenges in maintaining autonomous systems that interact with humans. The work bridges computer science and control theory, offering insights into decision-making processes that enhance system reliability and operational efficiency in modern industrial and service robotics applications.

Key Features

Part of Springer's Studies in Systems, Decision and Control series at Volume 129, providing peer-reviewed academic content on advanced robotics topics.

Focuses on intelligent search algorithms that optimise maintenance protocols for human-robot interaction systems.

Covers decision and control methodologies essential for designing safe and efficient collaborative robot environments.

Addresses both theoretical foundations and practical algorithmic applications for AI-driven robotic systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 August 2018
Listed Since
17 August 2018

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No barcode data available

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