Using cloud computing integrated architecture to improve delivery committed rate in smart manufacturing

Author(s):  
Ting Xia ◽  
Wei Zhang ◽  
W.S. Chiu ◽  
Changqiang Jing
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ruba Awadallah ◽  
Azman Samsudin ◽  
Je Sen Teh ◽  
Mishal Almazrooie

2020 ◽  
Vol 35 ◽  
Author(s):  
Edison Pignaton de Freitas ◽  
Julita Bermejo-Alonso ◽  
Alaa Khamis ◽  
Howard Li ◽  
Joanna Isabelle Olszewska

Abstract Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.


Author(s):  
Qinglin Qi ◽  
Dongming Zhao ◽  
T. Warren Liao ◽  
Fei Tao

Nowadays, smart manufacturing has attracted more and more interesting and attentions of researchers. As an important prerequisite for smart manufacturing, the cyber-physical integration of manufacturing is becoming more and more important. Cyber-physical systems (CPS) and digital twin (DT) are the preferred means to achieve the interoperability and integration between the physical and cyber worlds. From the perspective of hierarchy, CPS and DT can be divided into unit level, system level, and SoS (system of system) level. To meet the different requirements of each level, the following three complementary technologies, i.e., edge computing, fog computing and cloud computing, are instrumental to accelerate the development of various CPS and DT. In this article, the perspectives of unit-level, system-level, and SoS-level of CPS and DT supported by edge computing, fog computing and cloud computing are discussed.


Sign in / Sign up

Export Citation Format

Share Document