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Vision-based mobile robot control an...

Dirik, Mahmut.

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Vision-based mobile robot control and path planning algorithms in obstacle environments using Type-2 fuzzy logic

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vision-based mobile robot control and path planning algorithms in obstacle environments using Type-2 fuzzy logic/ by Mahmut Dirik, Oscar Castillo, Fatih Kocamaz.
Author:	Dirik, Mahmut.
other author:	Castillo, Oscar.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xviii, 127 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Introduction -- Chapter 2: Literature review -- Chapter 3: Prelimenary definition -- Chapter 4: Materials and methods.
Contained By:	Springer Nature eBook
Subject:	Mobile robots - Control. -
Online resource:	https://doi.org/10.1007/978-3-030-69247-6
ISBN:	9783030692476

Vision-based mobile robot control and path planning algorithms in obstacle environments using Type-2 fuzzy logic
Dirik, Mahmut.

Vision-based mobile robot control and path planning algorithms in obstacle environments using Type-2 fuzzy logic[electronic resource] /by Mahmut Dirik, Oscar Castillo, Fatih Kocamaz. - Cham :Springer International Publishing :2021. - xviii, 127 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.4071434-9922 ;. - Studies in fuzziness and soft computing ;v.407..

Chapter 1: Introduction -- Chapter 2: Literature review -- Chapter 3: Prelimenary definition -- Chapter 4: Materials and methods.

The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels.

ISBN: 9783030692476

Standard No.: 10.1007/978-3-030-69247-6doiSubjects--Topical Terms:

3461380
Mobile robots
--Control.

LC Class. No.: Q387

Dewey Class. No.: 629.8932

Vision-based mobile robot control and path planning algorithms in obstacle environments using Type-2 fuzzy logic
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505 0 $a Chapter 1: Introduction -- Chapter 2: Literature review -- Chapter 3: Prelimenary definition -- Chapter 4: Materials and methods.
520 $a The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels.
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