Cloud Robotics for Industry 4.0 - A Literature Review

Abstract

Robots in the industry have been used for decades, much before the so-called Fourth Industrial Revolution. They have been incorporated into industrial processes in various ways, for example, with mechanic arms, in assembly processes, welding, and painting, among others. Industrial robots are located in restricted access sites and their space is delimited by means of physical barriers and security measures. In recent years, Industry 4.0 proposes the use robots, able to collaborate with persons, known as collaborative robots or "cobots". Cobots are characterized by cooperating with human work, sharing the same workspace, and able to respond to simple human-machine interactions. In addition, given the benefits of applying cloud computing in Industry 4.0, research has been conducted in applying such technologies to robots. The approach is known as "cloud robotics" and appears as an emerging topic. The objective of this work is to carry out a systematic literature review of cloud robotics for Industry 4.0, in an attempt to present the state of the art in this field and identify opportunities for future research. From the analysis of the results, we observe an emerging interest in this area, and we identify main technologies applied, research themes, and application areas, as well as a special interest on security and safety aspects.

A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations

“…Artificial intelligence can be the intelligent assistant that can optimally control and manage the vast amounts of data generated and alert managers to all the critical points that need their attention. In this way, the manufacturing sector within the framework of Industry 4.0 can make substantial innovative leaps, acquire significant extroversion and develop previously impossible activities [2], [27]. This fact, and in general, the utilization of artificial intelligence in the science of civil engineering, is proven by the relevant research that has been published in the global literature…”

“…The era of "big data" gave rise to the need to analyze it and extract the valuable hidden knowledge it contains [1]. More generally, the maximization of the production process in the modern era in sectors such as construction, and especially as it is promoted and promoted by the Industry 4.0 standard, requires the widespread use of cyber-physical systems that monitor and supervise physical processes, taking autonomously and decentralized, optimal decisions [2].…”

Machine Learning Methods to Detect Voltage Glitch Attacks on IoT/IIoT Infrastructures

“…Intelligent machines communicate via machine-to-machine (M2M) communication, performing controls on both sides and making decentralized judgments. The communication network and other intermediary elements are the interfaces that interact with the normal interfaces of the physical with the digital world [ 9 – 11 ].…”