Leigh Duggan1
, James Dowzard2
, Jayantha Katupitiya3
, and Ka C. Chan4
1,2,3,4Department of Mechatronic Engineering, University of New South Wales, Australia
4Department of Computer Science and Information Technology, La Trobe University,
Australia
ABSTRACT
The primary contribution of this research is the production of a general cloud robotics architecture that
leverages the established and evolving big data technologies. Prior research in this area has not released
all details of their deployed architectures, which prevents experimental results from being replicated and
verified. By providing a general-purpose architecture, it is hoped that this framework will allow future
research to build upon and begin to create a standardised platform, where research can be easily repeated,
validated and compared.The secondary contribution is the critical evaluation of the design of cloud robotic
architectures. Whilst prior research has demonstrated that cloud-based robotic processing is achievable
via big data technologies, such research has not discussed the choice in design. With the ecosystem of big
data technologies expanding in recent years, a review of the most relevant technologies for cloud robotics
is appropriate to demonstrate and validate the proposed architectural design.
KEYWORDS
Cloud robotics, big data, OpenStack, Apache, ROS.
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