Paper Info
Title
Cloud robotics in Smart Manufacturing Environments: Challenges and countermeasures.
Abstract
In Smart Manufacturing Environments (SME), the use of cloud robotics is based on the integration of cloud computing and industrial robots, which provides a new technological approach to task execution and resource sharing compared to traditional industrial robots. However, research on cloud robotics in SME still faces some challenges. First, highly flexible load scheduling mechanisms are immature. Second, traditional optimization mechanisms for the network service quality do not meet the requirements of smart manufacturing due to time variability and service quality dynamics. And, finally, existing learning algorithms used without cloud-assisted resources cause great resource wasting. Accordingly, this paper explores main technologies related to cloud robotics in SME. The research contents include self-adaptive adjustment mechanisms for the service quality of a cloud robot network, computing load allocation mechanisms for cloud robotics, and group learning based on a cloud platform. The results presented in this paper are helpful to understand the internal mechanisms of perception and interaction, intelligent scheduling and control of cloud robot systems oriented to smart manufacturing, and the design of a cloud architecture oriented to group learning.
Year
DOI
Venue
2017
10.1016/j.compeleceng.2017.05.024
Computers & Electrical Engineering
Keywords
Field
DocType
Cloud robotics,Smart manufacturing,Simultaneous localization and mapping,Cloud computing
Network service,Service quality,Scheduling (computing),Computer science,Real-time computing,Robot,Shared resource,Cloud testing,Cloud robotics,Cloud computing
Journal
Volume
Issue
ISSN
63
C
0045-7906
Citations 
PageRank 
References 
5
0.47
16
Authors
5
Name
Order
Citations
PageRank
Hehua Yan124715.92
Qingsong Hua261.15
Yingying Wang32111.64
Wenguo Wei460.82
Muhammad Ali Imran52920278.27