- Title
- Cloud robotics in smart manufacturing environments : challenges and countermeasures
- Creator
- Yan, Hehua; Hua, Qingsong; Wang, Yingying; Wei, Wenguo; Imran, Muhammad
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181272
- Identifier
- vital:15921
- Identifier
-
https://doi.org/10.1016/j.compeleceng.2017.05.024
- Identifier
- ISBN:0045-7906 (ISSN)
- 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. © 2017
- Publisher
- Elsevier Ltd
- Relation
- Computers and Electrical Engineering Vol. 63, no. (2017), p. 56-65
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2017 Elsevier Ltd.
- Subject
- 4603 Computer Vision and Multimedia Computation; 4606 Distributed Computing and Systems Software; Cloud computing; Cloud robotics; Simultaneous localization and mapping; Smart manufacturing
- Reviewed
- Funder
- This work was supported by the Natural Science Foundation of Guangdong Province (No. 2015A030313746 ), the Research Fund Program of Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing (No. CIMSOF2016004 ), the Major Projects for Numerical Control Machine (No. 2015ZX04005001 ), the Science and Technology Planning Project of Guangdong Province, China (No. 2014A010103032 ), and Science and Technology Planning Project of Guangzhou City, China (Nos. 201508020074, 201604016108 ). Hehua Yan is an Associate Professor in Guangdong Mechanical & Electrical College, China. She has directed 3 research projects, including the Natural Science Foundation of Guangdong Province, etc. Thus far, she has authored/co-authored 20+ scientific papers. Her research interests include embedded systems, internet of things, and cyber-physical systems. Qingsong Hua received his Ph.D. degree in Mechanical Engineering from Clausthal University of Technology, Germany, in 2006. Currently, he is Professor of School of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China. His research interests are renewable energy include multi-energy system, micro grid and distributional SOFC power generation. Yingying Wang is an Associate Professor in Guangdong Mechanical & Electrical College, China. She has directed 3 research projects. Thus far, she has authored/co-authored 10+ scientific papers. Her research interests include internet of things, and cyber-physical systems. Wenguo Wei is a Professor in Guangdong Polytechnic Normal University, Guangzhou, China. He has directed 10 research projects. Thus far, he has authored/co-authored 30+ scientific papers. His research interests include internet of things, cloud computing, and cyber-physical systems. Muhammad Imran is working as Assistant Professor in the College of Computer and Information Sciences, King Saud University (KSU) since 2011. He worked as a Postdoctoral Associate on joint research projects between KSU and University of Sydney, Australia. His research interest includes mobile ad hoc and sensor networks, WBANs, M2M, IoT, SDN, fault tolerant computing and Security and privacy.
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