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Springer Intelligent Robotic Systems: Design, Planning, and Control

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Description

Expand your expertise in robotics with this comprehensive guide from Springer. This volume provides a deep look into the methodology for designing and synthesizing intelligent complex robotic systems. By connecting formal tools from discrete system theory, artificial intelligence, neural networks, and fuzzy logic, it offers a complete framework for modern engineering challenges. Readers will find detailed methods for solving real-time action planning, coordination, and control problems. The text includes a unique approach to intelligent robotic agent control, focusing on agents that act in real-world environments. This is achieved through a lifelong learning approach that combines cognitive and reactive capabilities. As part of the IFSR International Series in Systems Science and Systems Engineering, this book serves as a vital resource for those studying the intersection of AI and robotic control systems.

Key Features

Integrates diverse methodologies including artificial intelligence, neural networks, and fuzzy logic for complex system design.

Provides essential methods for addressing real-time action planning, coordination, and control problems in robotics.

Introduces a new approach to robotic agent control using a lifelong learning model for real-world environments.

Combines cognitive and reactive capabilities to improve how intelligent agents interact with their surroundings.

Connects formal tools from discrete system theory to the practical synthesis of intelligent robotic systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
08 March 2013
Listed Since
20 September 2013

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