Wheeled Mobile Robotics From Fundamentals Towards Autonomous Systems 1st edition by Gregor Klancar, Andrej Zdesar, Saso Blazic, Igor Skrjanc 0128042380 9780128042380

Wheeled Mobile Robotics From Fundamentals Towards Autonomous Systems 1st edition by Gregor Klancar, Andrej Zdesar, Saso Blazic, Igor Skrjanc – Ebook PDF Instant Download/DeliveryISBN:  0128042380, 9780128042380 

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Product details:

ISBN-10 :  0128042380 

ISBN-13 :  9780128042380

Author:  Gregor Klancar, Andrej Zdesar, Saso Blazic, Igor Skrjanc 

Wheeled Mobile Robotics: From Fundamentals Towards Autonomous Systemscovers the main topics from the wide area of mobile robotics, explaining all applied theory and application. The book gives the reader a good foundation, enabling them to continue to more advanced topics. Several examples are included for better understanding, many of them accompanied by short MATLAB® script code making it easy to reuse in practical work. The book includes several examples of discussed methods and projects for wheeled mobile robots and some advanced methods for their control and localization.

Wheeled Mobile Robotics From Fundamentals Towards Autonomous Systems 1st Table of contents:

Chapter 1: Introduction to Mobile Robotics
Abstract
1.1 Introduction
1.2 History
1.3 About the Book
Chapter 2: Motion Modeling for Mobile Robots
Abstract
2.1 Introduction
2.2 Kinematics of Wheeled Mobile Robots
2.3 Motion Constraints
2.4 Dynamic Model of a Mobile System With Constraints
Chapter 3: Control of Wheeled Mobile Systems
Abstract
3.1 Introduction
3.2 Control to Reference Pose
3.3 Trajectory Tracking Control
3.4 Optimal Velocity Profile Estimation for a Known Path
Chapter 4: Path Planning
Abstract
4.1 Introduction
4.2 Environment Presentation for Path Planning Purposes
4.3 Simple Path Planning Algorithms: Bug Algorithms
4.4 Graph-Based Path Planning Methods
Chapter 5: Sensors Used in Mobile Systems
Abstract
5.1 Introduction
5.2 Coordinate Frame Transformations
5.3 Pose Measurement Methods
5.4 Sensors
Chapter 6: Nondeterministic Events in Mobile Systems
Abstract
6.1 Introduction
6.2 Basics of Probability
6.3 State Estimation
6.4 Bayesian Filter
6.5 Kalman Filter
6.6 Particle Filter
Chapter 7: Autonomous Guided Vehicles
Abstract
7.1 Introduction
7.2 Autonomous Transportation Vehicles
7.3 Wheeled Mobile Robots in Agriculture
7.4 Wheeled Mobile Robots in Industry
7.5 Wheeled Mobile Robots in Domestic Environments
7.6 Assistive Mobile Robots in Walking Rehabilitation Therapy
Chapter 8: Project Examples for Laboratory Practice
Abstract
8.1 Introduction
8.2 Localization Based on Bayesian Filter Within a Network of Paths and Crossroads
8.3 Localization Based on Extended Kalman Filter Using Indoor Global Positioning System and Odometry
8.4 Particle-Filter-Based Localization in a Pattern of Colored Tiles
8.5 Control of Vehicles in a Linear Formation
8.6 Motion and Strategy Control of Multiagent Soccer Robots
8.7 Image-Based Control of a Mobile Robot
8.8 Particle-Filter-Based Localization Using an Array of Ultrasonic Distance Sensors
8.9 Path Planning of a Mobile Robot in a Known Environment

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