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Data-driven based ultrasonics analysis for evaluating the bond strength of concrete layers
Khademi, P
Cataloging brief
Data-driven based ultrasonics analysis for evaluating the bond strength of concrete layers
Author :
Khademi, P
Publisher :
Pub. Year :
2024
Subjects :
Ultrasound test 3D printing Bond strength (materials) Concrete testing Convolution ...
Call Number :
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Title Page
(1)
Graduate Committee Approval
(2)
Author's declaration
(3)
Abstract
(4)
Acknowledgments
(6)
Table of Contents
(8)
List of Figures
(10)
List of tables
(13)
1 Introduction and Literature
(14)
1.1 Hexapod Walking Robot
(15)
1.2 Comparison of Wheeled, Tracked and Legged Locomotion
(15)
1.2.1 Wheeled Locomotion
(16)
1.2.2 Tracked Locomotion
(16)
1.2.3 Legged Locomotion
(17)
1.3 Legged Robot Configurations
(18)
1.3.1 Static Stability and Dynamic Stability
(18)
1.3.2 Walking Speed of Legged Robots
(19)
1.3.3 6 Legged Gait Diagrams
(20)
1.3.4 Existing Hexapod Robots
(23)
1.4 Robot Control
(27)
1.4.1 Learning Control
(29)
1.5 Summary
(31)
2 Designing and Building the Prototype of Hexapod Robot "SiWaRel"
(32)
2.1 Actuators
(32)
2.2 Body Parts and Rapid Prototyping
(35)
2.3 Servo-motor Drive Board (Servo Shield)
(37)
2.4 Power Supply
(38)
2.5 Low Level control of the Robot
(38)
2.6 Summary
(39)
3 Modular View Kinematic Analysis of Hexapod
(42)
3.1 Introduction
(42)
3.2 Kinematic Analysis
(43)
3.2.1 Inverse Kinematic of Hexagonal Hexapod Robot
(43)
3.2.2 Forward and Inverse Kinematic Analysis of one Leg
(47)
3.3 Gait Analysis of Hexapod Robot
(51)
3.3.1 Simulations of Gait Analysis
(53)
3.3.2 Implementation Gait Analysis and Inverse Kinematic Formulations on SiWaReL Prototype
(56)
3.4 Summary
(59)
4 Dynamic Modeling of SiWaReL Hexapod Robot
(60)
4.1 Hexapod Robot Model in Dynamic Simulation Environments
(61)
4.1.1 V-rep, Coppelia Robotics
(61)
4.1.2 Webots, Cyberbotics
(62)
4.2 Dynamic Modeling of Hexapod Robot in MATLAB© SimMechanics
(63)
4.2.1 Leg Design
(64)
4.2.2 Hexapod Design
(64)
4.3 Summary
(68)
5 Reinforcement Learning in Hexapod Walking
(69)
5.1 Reinforcement Learning Problem Architecture
(70)
5.2 State and Actions Specification in SiWaReL for Walking
(71)
5.3 Fuzzy Reward
(76)
5.4 Action Selection
(80)
5.5 Learning algorithm
(82)
5.6 Results
(86)
5.6.1 Random Action Selection
(86)
5.6.2 -greedy Action Selection
(89)
5.6.3 Decision making
(92)
5.7 Summary
(92)
6 Conclusion
(95)
References
(96)
Index
(99)