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Robot path planning and cooperationf...

Koubaa, Anis.

Robot path planning and cooperationfoundations, algorithms and experimentations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robot path planning and cooperationby Anis Koubaa ... [et al.].
Reminder of title:	foundations, algorithms and experimentations /
other author:	Koubaa, Anis.
Published:	Cham :Springer International Publishing :2018.
Description:	xix, 190 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	RobotsControl systems.
Online resource:	http://dx.doi.org/10.1007/978-3-319-77042-0
ISBN:	9783319770420$q(electronic bk.)

Robot path planning and cooperationfoundations, algorithms and experimentations /
Robot path planning and cooperationfoundations, algorithms and experimentations /[electronic resource] :by Anis Koubaa ... [et al.]. - Cham :Springer International Publishing :2018. - xix, 190 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7721860-949X ;. - Studies in computational intelligence ;v. 216..

Part I Global Robot Path Planning -- Introduction to Mobile Robot Path Planning -- Background on Artiﬁcial Intelligence Algorithms for Global Path Planning -- Design and Evaluation of Intelligent Global Path Planning Algorithms -- Integration of Global Path Planners in ROS -- Robot Path Planning using Cloud Computing for Large Grid Maps -- Part II Multi-Robot Task Allocation -- General Background on Multi-Robot Task Allocation -- Different Approaches to Solve the MRTA Problem -- Performance Analysis of the MRTA Approaches for Autonomous Mobile Robot.

This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS) The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.

ISBN: 9783319770420$q(electronic bk.)

Standard No.: 10.1007/978-3-319-77042-0doiSubjects--Topical Terms:

182098
Robots
--Control systems.

LC Class. No.: TJ211.35

Dewey Class. No.: 629.892

Robot path planning and cooperationfoundations, algorithms and experimentations /
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245 0 0 $a Robot path planning and cooperation $h [electronic resource] : $b foundations, algorithms and experimentations / $c by Anis Koubaa ... [et al.].
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300 $a xix, 190 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.772
505 0 $a Part I Global Robot Path Planning -- Introduction to Mobile Robot Path Planning -- Background on Artiﬁcial Intelligence Algorithms for Global Path Planning -- Design and Evaluation of Intelligent Global Path Planning Algorithms -- Integration of Global Path Planners in ROS -- Robot Path Planning using Cloud Computing for Large Grid Maps -- Part II Multi-Robot Task Allocation -- General Background on Multi-Robot Task Allocation -- Different Approaches to Solve the MRTA Problem -- Performance Analysis of the MRTA Approaches for Autonomous Mobile Robot.
520 $a This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS) The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.
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