The DOI matches its Crossref record; 1 of the 1 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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Citations
Cites
Simultaneous localization and mapping: part I
Durrant-Whyte, H., & Bailey, T. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1638022 · Cited by 4,199
Cited by
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
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
- 1
- FWCI
- 44.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hu, G., Tay, W., & Wen, Y. (2012). Cloud robotics: architecture, challenges and applications. IEEE Network. https://doi.org/10.1109/mnet.2012.6201212
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
