Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations: 772 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
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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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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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
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Springer, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Hardcover. Condición: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany. Nº de ref. del artículo: CE-2401C-KUESCHRATUER-28-1000XS
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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
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Robot Path Planning and Cooperation
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Springer International Publishing, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes recent research on robot path planning and cooperationPresents foundations, algorithms, and experimentations Includes various examples and applicationsThis book presents extensive research on two main problems in rob. Nº de ref. del artículo: 206520079
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Robot Path Planning and Cooperation
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Springer International Publishing, Springer Nature Switzerland Apr 2018, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch. Nº de ref. del artículo: 9783319770406
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Robot Path Planning and Cooperation | Foundations, Algorithms and Experimentations
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Springer Nature Switzerland, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Buch. Condición: Neu. Robot Path Planning and Cooperation | Foundations, Algorithms and Experimentations | Anis Koubaa (u. a.) | Buch | xix | Englisch | 2018 | Springer Nature Switzerland | EAN 9783319770406 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 111270607
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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
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Robot Path Planning and Cooperation
Publicado por
Springer International Publishing, Springer Nature Switzerland Apr 2018, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch. Nº de ref. del artículo: 9783319770406
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Robot Path Planning and Cooperation : Foundations, Algorithms and Experimentations
Publicado por
Springer International Publishing, Springer Nature Switzerland, 2018
ISBN 10: 3319770403
ISBN 13: 9783319770406
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319770406
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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence, 772)
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