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Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (SpringerBriefs in Computer Science)

Rosario Aragues, Carlos Sagüés, Youcef Mezouar




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 | #10626118 in Books |  Rosario Aragues Carlos Sagues Youcef Mezouar |  2017-06-18 |  2015-11-28 | Original language:English | PDF # 1 |  9.25 x.30 x6.10l,.0 | File type: PDF | 116 pages

 | Parallel and Distributed Map Merging and Localization Algorithms Tools and Strategies for Robotic Networks SpringerBriefs in Computer Science

||From the Back Cover||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 issue

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 tex...

You easily download any file type for your gadget.Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (SpringerBriefs in Computer Science)   |  Rosario Aragues, Carlos Sagüés, Youcef Mezouar. I was recommended this book by a dear friend of mine.

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