Toward Humanoid Robots: The Role of Fuzzy Sets

Eda Bolturk

ISBN 10: 3030671623 / ISBN 13: 9783030671624

Published by Springer International Publishing, Springer International Publishing Apr 2021, 2021

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch.

Seller Inventory # 9783030671624

Bibliographic Details

• Title: Toward Humanoid Robots: The Role of Fuzzy Sets
• Publisher: Springer International Publishing, Springer International Publishing Apr 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 3030671623
• ISBN 13: 9783030671624
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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. 

About the Author

Professor Cengiz Kahraman is a full professor of Industrial Engineering at Istanbul Technical University. His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published about 260 journal papers and 200 conference papers. He is the editor of many international books from Springer and the editorial board member in 20 international journals. He is the Editor-in Chief of Journal of Fuzzy Logic and Modeling in Engineering published by Bentham Science. He is also the chair of INFUS (Intelligent and Fuzzy Systems) conferences.

Dr. Eda Bolturk received her BSc degree in Industrial Engineering from Istanbul Commerce University and her MSc degree in Industrial Engineering from Istanbul Technical University. She was a Ph.D. student at Politecnico di Milano in Energy Department in Italy between 2013 and 2014. She received her Ph.D. degree in Industrial Engineering from Istanbul Technical University on fuzzy decision making. Her research areas are fuzzy logic, decision making, forecasting and risk management. She published more than 50 papers in international journals and chapters in international books. She organized some international conferences on fuzzy logic.