Abstract
As an interdiscipline of distributed computing and robots, cloud robotics concerns augmenting robot capabilities by connecting them to the powerful backend cloud computing infrastructure. It is a field of great potential, and most recent discussions on this topic are from the point of view of robotics. In this paper, we discuss this field mainly from the aspect of distributed and cloud computing, i.e., “what distributed computing technologies can contribute to cloud robotics?” and “what challenges does cloud robotics bring to distributed computing?” This paper also presents our early experience towards a cloud robotic software infrastructure which is based on the newly-emerged edge computing model and supports the direct deployment of existing ROS (Robot Operating System) packages.
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Notes
- 1.
10 Breakthrough Technologies, https://www.technologyreview.com/lists/technologies/2016/
- 2.
National Robotics Initiative 2.0: Ubiquitous Collaborative Robots (NRI-2.0), https://www.nsf.gov/pubs/2017/nsf17518/nsf17518.htm
- 3.
- 4.
Million object challenge. http://h2r.cs.brown.edu/million-object-challenge/
- 5.
Wikipedia: Collective Intelligence. https://en.wikipedia.org/wiki/Collective_intelligence
- 6.
The code of micROS-drt can be accessed https://github.com/cyberdb/micROS-drt, the code of Cloudroid can be accessed at https://github.com/cyberdb/Cloudroid, and the code of object recognition with the support of the public cloud can be accessed at https://github.com/liyiying/cloudrobot-semantic-map
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Acknowledgements
This work is partially supported by the National Natural Science Foundation of China (No. 61751208), the Advanced Research Program (No. 41412050202) and the special program for the applied basic research of the National University of Defense Technology under Grant No.ZDYYJCYJ20140601
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Huaimin, W., Bo, D., Xu, J. (2018). Cloud Robotics: A Distributed Computing View. In: Jones, C., Wang, J., Zhan, N. (eds) Symposium on Real-Time and Hybrid Systems. Lecture Notes in Computer Science(), vol 11180. Springer, Cham. https://doi.org/10.1007/978-3-030-01461-2_12
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