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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




[PDF.kk94] Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (SpringerBriefs in Computer Science)

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 | #9776129 in Books |  2015-11-28 |  2015-11-28 | Original language:English | PDF # 1 |  9.25 x.30 x6.10l,.0 | File type: PDF | 116 pages

||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 can specify the type of files you want, for your device.Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (SpringerBriefs in Computer Science)   |  Rosario Aragues, Carlos Sagüés, Youcef Mezouar.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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