The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Cloud robotics: architecture, challenges and applications
Abstract
We extend the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture. The cloud robotic architecture leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Cloud robotics utilizes an elastic computing model, in which resources are dynamically allocated from a shared resource pool in the ubiquitous cloud, to support task offloading and information sharing in robotic applications. We propose and evaluate communication protocols, and several elastic computing models to handle different applications. We discuss the technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in different applications.
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Cites
The NIST definition of cloud computing
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Jacquet, P., Muhlethaler, P., Clausen, T., Laouiti, A., Qayyum, A., & Viennot, L. (2002) · Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century. · doi:10.1109/inmic.2001.995315 · Cited by 1,408
Visual Navigation for Mobile Robots: A Survey
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Waibel, M., Beetz, M., Civera, J., D'Andrea, R., Elfring, J., Gálvez-López, D., Häussermann, K., Janssen, R., Montiel, J. M. M., Perzylo, A., et al. (2011) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2011.941632 · Cited by 429
Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones
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Self-citationDAvinCi: A cloud computing framework for service robots
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Cited by
A Survey of Research on Cloud Robotics and Automation
Kehoe, B., Patil, S., Abbeel, P., & Goldberg, K. (2015) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2014.2376492 · Cited by 833
Message Passing Algorithms for Scalable Multitarget Tracking
Meyer, F., Kropfreiter, T., Williams, J. L., Lau, R., Hlawatsch, F., Braca, P., & Win, M. Z. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2789427 · Cited by 355
The tactile internet: vision, recent progress, and open challenges
Maier, M., Chowdhury, M., Rimal, B. P., & Van, D. P. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470948 · Cited by 265
Rapyuta: A Cloud Robotics Platform
Mohanarajah, G., Hunziker, D., D'Andrea, R., & Waibel, M. (2015) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2014.2329556 · Cited by 255
Metadata
- Authors
- Hu, G., Tay, W., & Wen, Y.
- Venue
- IEEE Network
- Published
- 2012-05
- Volume
- 26
- Issue
- 3
- Pages
- 21-28
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W2105774558
- Cited by
- 488
- References
- 12
- FWCI
- 44.05
- Type
- journal article
- Language
- en
- Open access
- closed
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