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Toward Humanoid Robots: The Role of Fuzzy Sets

by Cengiz Kahraman, Eda Bolturk

This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

FORMAT
Paperback
LANGUAGE
English
CONDITION
Brand New


Publisher Description

This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on humanoid robots. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments. 

Back Cover

This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on humanoid robots. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

Table of Contents

Introduction to Humanoid Robots & Fuzzy Sets.- Fuzzy Logic in Humanoid Biomechanics.- Humanoid Robots and  Metaheuristics.- Humanoid Robotics and Fuzzy Control.- Humanoid Robots and Neutrosophic sets.

Feature

Covers a broad range of knowledge on fuzzy sets which has been increasingly used in control and automation engineering Presents the theory and applications of fuzzy sets to humanoid robots in a comprehensive handbook style Serves as both a handbook and a reference book for the postgraduate engineering students, especially control and automation engineering, industrial engineering, and electronic engineering student Discusses how intelligent control and automation techniques can bring solutions to humanoid robotic problems Includes both theoretical and practical knowledge

Details

ISBN3030671658
Short Title Toward Humanoid Robots: the Role of Fuzzy Sets
Pages 310
Series Studies in Systems, Decision and Control
Language English
Year 2022
ISBN-10 3030671658
ISBN-13 9783030671655
Format Paperback
Subtitle A Handbook on Theory and Applications
Series Number 344
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Place of Publication Cham
Country of Publication Switzerland
Publication Date 2022-04-05
UK Release Date 2022-04-05
Author Eda Bolturk
Edited by Eda Bolturk
Alternative 9783030671624
DEWEY 629.8920285
Audience Professional & Vocational
Edition Description 2021 ed.
Edition 2021st
Country of Origin NL
Product Class Description Computing: Professional & Programming
Illustrations 151 Illustrations, color; 38 Illustrations, black and white

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