Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
Koubaa, Anis; Bennaceur, Hachemi; Chaari, Imen; Trigui, Sahar; Ammar, Adel; Sriti, Mohamed-Foued; Alajlan, Maram; Cheikhrouhou, Omar; Javed, Yasir
Language: English
Published by Springer, 2018
Series: Book 280 of 538 - Studies in Computational Intelligence
- First Edition
- Hardcover
- Used
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- Title
- Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
- Author
- Koubaa, Anis; Bennaceur, Hachemi; Chaari, Imen; Trigui, Sahar; Ammar, Adel; Sriti, Mohamed-Foued; Alajlan, Maram; Cheikhrouhou, Omar; Javed, Yasir
- Publisher
- Springer
- Publication year
- 2018
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319770403
- ISBN 13
- 9783319770406
- Edition
- 1. Auflage
- Series
- Book 280 of 538: Studies in Computational Intelligence
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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