Parallel Distributed Map Merging by Aragues Rosario (14 results)

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Language: English
Published by Springer 11/10/2015, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Paperback or Softback. Condition: New. Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks. Book.

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Condition: New. pp. 115.

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer-Verlag New York Inc, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
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Paperback. Condition: Brand New. 124 pages. 9.50x6.25x0.50 inches. In Stock.

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Condition: Neu. Parallel and Distributed Map Merging and Localization | Algorithms, Tools and Strategies for Robotic Networks | Rosario Aragues (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | viii | Englisch | 2015 | Springer | EAN 9783319258843 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Language: English
Published by Springer International Publishing Nov 2015, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them. In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. 124 pp. Englisch.…

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
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Condition: New. Print on Demand pp. 115.

Language: English
Published by Springer, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
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Condition: New. PRINT ON DEMAND pp. 115.

Language: English
Published by Springer International Publishing, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
- Print on Demand
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the unique challenges and possibilities introduced by multi-robot systems and distributed strategiesProvides tools for developing new approaches to multi-robot perception and other related challengesPresents strategies for distribut.…

Language: English
Published by Springer, Palgrave Macmillan Nov 2015, 2015
Series: Book 190 of 322 - SpringerBriefs in Computer Science
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them.In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.…