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portada Parallel and Distributed map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (Springerbriefs in Computer Science)
Type
Physical Book
Publisher
Year
2015
Language
English
Pages
116
Format
Paperback
ISBN13
9783319258843
Edition No.
1

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

Rosario Aragues (Author) · Springer · Paperback

Parallel and Distributed map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (Springerbriefs in Computer Science) - Rosario Aragues

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Synopsis "Parallel and Distributed map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (Springerbriefs in Computer Science) "

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.

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