Robot Path Planning and Cooperation - Foundations, Algorithms and Experimentations (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 772
Release date:	April 2018
First published:	2018
Authors:	Anis Koubaa • Hachemi Bennaceur • Imen Chaari • Sahar Trigui • Adel Ammar • Mohamed-Foued Sriti • Maram Alajlan • Omar Cheikhrouhou • Yasir Javed
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	190
Edition:	1st ed. 2018
ISBN-13:	978-3-319-77040-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	3-319-77040-3
Barcode:	9783319770406

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