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.
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.
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.
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.
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