Editors:
- Recent research in Robotics and Sensor Clouds
- Demonstrates how cloud robotics and sensor clouds can be used to create and monitor robotic and sensor networks applications
- Focuses on recent challenges for service robots and monitoring applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 36)
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Table of contents (4 chapters)
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Front Matter
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Cloud for the IoT
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Front Matter
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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.
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Editors and Affiliations
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Prince Sultan University, Riyadh, Saudi Arabia, and ISEP/CISTER Research Unit, Porto, Portugal
Anis Koubaa
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Jodrey School of Computer Science, Acadia University, Wolfville, Canada
Elhadi Shakshuki
Bibliographic Information
Book Title: Robots and Sensor Clouds
Editors: Anis Koubaa, Elhadi Shakshuki
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-22168-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-22167-0Published: 28 August 2015
Softcover ISBN: 978-3-319-35863-5Published: 23 August 2016
eBook ISBN: 978-3-319-22168-7Published: 17 August 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VII, 94
Topics: Computational Intelligence, Artificial Intelligence, Robotics and Automation