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Parallel and Distributed Map Merging and Localization

Parallel and Distributed Map Merging and Localization

Carlos Sagüés / Rosario Aragues / Youcef Mezouar

68,09 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2015
Materia
Inteligencia artificial
ISBN:
9783319258843
68,09 €
IVA incluido
Disponible

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Sobre IBD

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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