Toward Humanoid Robots: The Role of Fuzzy Sets: A Handbook on Theory and Applications

Preface
Contents
Introduction to Humanoid Robots and Fuzzy Sets
Humanoid Robots and Fuzzy Sets
	1 Introduction
	2 Types of Robots
	3 Humanoid Robots and Fuzzy Logic
	4 Today’s Humanoid Robots
	5 Literature Review on Humanoid Robots
	6 Books on Humanoid Robots
	7 Journals on Humanoid Robots
	8 Conclusion
	References
Fuzzy Sets and Extensions: A Literature Review
	1 Introduction
		1.1 Preliminaries: Extensions of Fuzzy Sets
		1.2 Literature Review
		1.3 Conclusion
	References
Fuzzy Logic in Humanoid Biomechanics
Modeling Humanoid Robots Using Fuzzy Set Extensions
	1 Introduction
	2 Extensions of Fuzzy Sets in Modeling HRs
		2.1 Intuitionistic Fuzzy Sets
	3 Conclusions
	References
We Need Fuzzy Techniques to Design Successful Human-Like Robots
	1 What Is the Main Objective of Designing  Human-Like Robots
	2 Fuzzy Techniques: A Brief Reminder
	3 Fuzzy Techniques: Successes and Limitations
	4 So How Should We Make Robotic Behavior More Human-Like: General Idea
	5 How to Make Robotic Behavior More Human-Like: Technical Details
	References
Humanoid Robots and Metaheuristics
Metaheuristics in Modeling Humanoid Robots: A Literature Review
	1 Introduction
	2 Metaheuristics
	3 Graphical Analyses
	4 Conclusions
	References
On the Use of Meta-Heuristic Algorithms for Automated Test Suite Generation in Software Testing
	1 Introduction
	2 Literature Review
	3 Bio Inspired Computational Algorithms
		3.1 Hill Climbing
		3.2 Bat Algorithm
		3.3 Cuckoo Search Algorithm
		3.4 Firefly Algorithm
		3.5 Particle Swarm Algorithm
		3.6 Artificial Bee Colony Algorithm
		3.7 Applications of Bio Inspired Algorithms
		3.8 Limitation of Bio Inspired Algorithms
		3.9 Theoretical Comparison
	4 Methodology
		4.1 Overview
		4.2 Research Methodology
		4.3 Testing Framework
	5 Experimental Results
		5.1 Triangle Classification Problem
		5.2 Greatest Number Problem
		5.3 Prime Number Identification Problem
		5.4 Days in a Month Problem
		5.5 Binary Search Problem
	6 Discussion
		6.1 Theoretical Contribution
		6.2 Implication for Practice
	7 Conclusion and Future Work
	References
Humanoid Robotics and Fuzzy Control
Comparative Study of Conventional and Interval Type-2 Fuzzy Logic Controllers for Velocity Regulation in Lego Mindstorms Ev3 Humanoids
	1 Introduction
	2 Humanoid Robots
	3 Control Models
		3.1 Closed-Loop Control
		3.2 Proportional-Integral Controller
		3.3 Proportional Integral-Derivative
	4 Fuzzy Logic Controller
	5 Robotics Kits
	6 Methodology
		6.1 Proportional Integral Controller for Lego Mindstorms ev3
		6.2 Proportional Integral Derivative Controller for Lego Mindstorms ev3
		6.3 Fuzzy Logic Controller for the Lego Mindstorms Ev3
	7 Simulations and Results
		7.1 Simulations for Step Reference
		7.2 Simulations for Signal Generator Reference
	8 Conclusions
	References
Control Strategies Based on Interval Type-2 Fuzzy Logic for Autonomous Mobile and Humanoid Robots
	1 Introduction
	2 Kinematic Model
		2.1 Kinematic Behavior
		2.2 Kinematic Model
	3 Interval Type-2 Fuzzy Systems
	4 Results and Discussion
	5 Humanoid Robots
	6 Conclusions
	References
Present Applications of Humanoid Robots and Fuzzy Control
	1 Introduction
	2 Stability and Reliability Control of Humanoid Robot with Fuzzy Sets
	3 Walking Pattern Detection of Humanoid Robot with Fuzzy Set
	4 Navigation of Humanoid Robot with Fuzzy Set
	5 Obstacle Avoidance of Humanoid Robot with Fuzzy Set
	6 Conclusions
	References
Humanoid Robots and Neutrosophic Sets
Theory of Single Valued Trapezoidal Neutrosophic Numbers and Their Applications to Multi Robot Systems
	1 Introduction
	2 Preliminary
	3 The Correlation Coefficient of Normal SVTN-Numbers
	4 Multi Robot System Based on Normal SVTN-Numbers: An Application
	5 Conclusion
	References
Trends on Extension and Applications of Neutrosophic Graphs to Robots
	1 Introduction
	2 Developments in Neutrosophic Graphs
		2.1 Single-Valued Neutrosophic Graph [9]
		2.2 Interval Valued Neutrosophic Graph [25]
		2.3 Bipolar Neutrosophic Graphs (BNGs) [35]
		2.4 Neutrosophic Soft Graph (NSG) and Complex Neutrosophic Graph (CNG)
		2.5 Neutrosophic Graphs of Finite Groups [104]
	3 Applications of Neutrosophic Graphs
		3.1 Applications in Solving Shortest Path Problems (SPP)
		3.2 Applications in Decision-Making (DM)
		3.3 Application of NGs in Networks
		3.4 Novel System and Method for Telephone Network Planning Based on Neutrosophic Graph [89]
		3.5 A Study on Neutrosophic Cubic Graphs (NCGs) with Real Life Applications in Industries [88]
		3.6 Humanoid Robotics [106]
		3.7 Humanoid Robot “TRON” [107]
		3.8 Humanoid Robotics: A UCD Review [108]
		3.9 Impression Change in Humanoid Robot [109]
		3.10 Dynamics of Humanoid Robots [110]
		3.11 Humanoid Robots from the Past to the Present [111]
		3.12 Humanoid Robots from the Past to the Present [111]
		3.13 Humanoid Robot in Smart Restaurant [112]
	4 Integration of Neutrosophic Graphs and Humanoid Robots
	5 Comparison
	6 Advantages of Working in Environment of NGs [44]
	7 Conclusion
	References
Index