A Rapid Deployment Big Data Computing Platform for Cloud Robotics
Leigh Duggan, James Dowzard, Jayantha Katupitiya, Ka Ching Chan
- Year
- 2017
- Citations
- 6
- Access
- Open access
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
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991