Cloud edge computing for socialization robot based on intelligent data envelopment

• Published in: Computers & electrical engineering 2021-06, Vol.92, p.107136, Article 107136
• Main Author: Sun, Yu
• Format: Article
• Language: English
• Subjects: Algorithms; Artificial intelligence; Cloud computing; Data analysis; Data envelopment analysis; Edge computing; Network latency; Robots; Socialization Robot; Systematic Development
• ISSN: 0045-7906; 1879-0755
• DOI: 10.1016/j.compeleceng.2021.107136

With the recent progress of science and the development of society, the development of artificial intelligence technology and robot theory have become increasingly mature. Compared to the development of Internet, robot industry is a branch of traditional industry, and the popularization of social robots has always been the bottleneck. Robot intelligence is an important part of artificial intelligence, which brings new challenges to human production and life for it usually needs cloud computing system for the systematic implementations. Compared to cloud computing, edge computing brings powerful computing resources and efficient services to the network edge, which has lower latency, lower bandwidth consumption, higher energy efficiency and better privacy protection. Data envelopment analysis (DEA) enriches theory of production function and its application technology in microeconomics. Meanwhile, it has advantages in avoiding subjective factors, simplifying algorithm and reducing errors. Based on these novel technologies, this paper analyzes development trend of intelligent social robot with specialzed analysis of the electric engineering and data analytic perspectives. The sample expeirment has shown rapid development. Compared with the other state-of-the-art methodologies, the proposed framework is efficient.