Name: Parallel and Distributed map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (Springerbriefs in Computer Science) (en Inglés)
SKU: 48662660
Price: 54.22 USD
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Author: Rosario Aragues

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

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

Formato

Libro Físico

Editorial

Springer

Autor

Rosario Aragues

Año

2015

Idioma

Inglés

N° páginas

116

Encuadernación

Tapa Blanda

ISBN13

9783319258843

N° edición

Categorías

Inteligencia artificial

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

Rosario Aragues (Autor) · Springer · Tapa Blanda

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Reseña del libro "Parallel and Distributed map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks (Springerbriefs in Computer Science) (en Inglés)"

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.