Enabling Fog-based Industrial Robotics Systems
Mohammed Salman Shaik, Václav Struhár, Zeinab Bakhshi, Van-Lan Dao, Nitin Desai, Alessandro V. Papadopoulos, Thomas Nolte, Vasileios Karagiannis, Stefan Schulte, Alexandre Venito, Gerhard Fohler
- 发表年份
- 2020
- 引用次数
- 26
摘要
Low latency and on demand resource availability enable fog computing to host industrial applications in a cloud like manner. One industrial domain which stands to benefit from the advantages of fog computing is robotics. However, the challenges in developing and implementing a fog-based robotic system are manifold. To illustrate this, in this paper we discuss a system involving robots and robot cells at a factory level, and then highlight the main building blocks necessary for achieving such functionality in a fog-based system. Further, we elaborate on the challenges in implementing such an architecture, with emphasis on resource virtualization, memory interference management, real-time communication and the system scalability, dependability and safety. We then discuss the challenges from a system perspective where all these aspects are interrelated.
关键词
相关论文
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