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Robots and Sensor Clouds / edited by Anis Koubaa, Elhadi Shakshuki

Contributor(s): Koubaa, Anis, editor literario | Shakshuki, Elhadi., editor literario | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Studies in Systems, Decision and Control, 2198-4182; 36).Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (VII, 94 páginas) : 27 ilustraciones, 26 ilustraciones en color.ISBN: 9783319221687.Subject: Inteligencia artificial | RobóticaDDC classification: 006.3 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources Abstract: This book comprises four chapters that address some of the latest research in clouds robotics and sensor clouds. The first part of the book includes two chapters on cloud robotics. The first chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation. In the second chapter, the authors apply Cloud Computing for building a Cloud-Based 3D Point Cloud extractor for stereo images. Their objective is to have a dynamically scalable and applicable to near real-time scenarios. �.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 .R636 2016 EB (Browse shelf(Opens below)) .i1158533x Acceso electrónico eBOOK .i1158533x
Total holds: 0

This book comprises four chapters that address some of the latest research in clouds robotics and sensor clouds. The first part of the book includes two chapters on cloud robotics. The first chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation. In the second chapter, the authors apply Cloud Computing for building a Cloud-Based 3D Point Cloud extractor for stereo images. Their objective is to have a dynamically scalable and applicable to near real-time scenarios. �.

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