Parallel and Distributed Map Merging and Localization Algorithms, Tools and Strategies for Robotic Networks /

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 d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Aragues, Rosario (Autor), Sagüés, Carlos (Autor), Mezouar, Youcef (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Computer Science,
Temas:
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Computer networks .
Computer vision.
Artificial Intelligence.
Control, Robotics, Automation.
Computer Communication Networks.
Computer Vision.
Acceso en línea:Texto Completo
Descripción
Sumario: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. This work will be of interest to postgraduate students and researchers in the robotics and control communities, and will appeal to anyone with a general interest in multi-robot systems. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied.
Descripción Física:VIII, 116 p. 34 illus. online resource.
ISBN:9783319258867
ISSN:2191-5776

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