Robots and Sensor Clouds

  • Anis Koubaa
  • Elhadi Shakshuki

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 36)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Cloud Robotics

    1. Front Matter
      Pages 1-1
    2. Lujia Wang, Ming Liu, Max Q.-H. Meng
      Pages 3-31
    3. Javier Salmerón-García, Pablo Iñigo-Blasco, Fernando Díaz-del-Río, Daniel Cagigas-Muñiz
      Pages 33-52
  3. Cloud for the IoT

    1. Front Matter
      Pages 53-53
    2. Mohammed Riyadh Abdmeziem, Djamel Tandjaoui, Imed Romdhani
      Pages 55-75
    3. Mohammad Aazam, Eui-Nam Huh, Marc St-Hilaire, Chung-Horng Lung, Ioannis Lambadaris
      Pages 77-94

About this book


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.



Cloud Robotics Computational Intelligence Intelligent Systems Sensor Clouds Service Robotics

Editors and affiliations

  • Anis Koubaa
    • 1
  • Elhadi Shakshuki
    • 2
  1. 1.Prince Sultan University, Riyadh, Saudi Arabia, and ISEP/CISTER Research UnitPortoPortugal
  2. 2.Jodrey School of Computer ScienceAcadia UniversityWolfvilleCanada

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-22167-0
  • Online ISBN 978-3-319-22168-7
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site