From Industry 4.0 to Robotics 4.0 - A Conceptual Framework for Collaborative and Intelligent Robotic Systems

Z, Gao; Wanyama, Tom; Singh, Ishwar; Gadhrri, Anoop; Schmidt, Reiner

doi:10.1016/j.promfg.2020.03.085

Cited by 74 publications

(45 citation statements)

References 30 publications

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“…Goods made using CT, Raman spectroscopy, and other comparable scanning methods could find problems in products before leaving the plant. SDNs and cyber-physical systems provided an IoRT [35] high-level view of scaling information networks. It is a new and promising answer to the current problematic networking issue (SDN-like isolation of network services and hardware).…”

Section: Automated Manufacturing Internet Of Robotic Ingsmentioning

confidence: 99%

Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0

Rajawat

Bedi

Goyal

et al. 2021

Mobile Information Systems

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In this paper, the cooperation between human and robot companies plays a significant role in factories, contributing to greater productivity and efficiency. However, this development breaches established safety procedures when the workspaces are separated from the robot and the human being. These changes have been reflected in industrial robotic safety standards for the last 20 years. We have directed the expansion of a broad field of examination, which focuses on avoiding robotic humans’ effects and minimizing associated risks and consequences. The paper depicts an analysis of prominent safety systems projected and implemented in engineering robotic surroundings that contribute to safe, collective work between humans and robots. Besides, the current regulation has introduced a review and new concepts. The discussion includes multidisciplinary approaches such as estimating and evaluating human-robot collision injuries, mechanical equipment and software to minimize human-robot impacts, impact detection systems, and collision prevention strategies and minimizing their impact to proposed approach for Human Security with Mobile Robots in Industry 4.0 using SDN and CPS with GMM-GM machine learning model.

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Section: Automated Manufacturing Internet Of Robotic Ingsmentioning

confidence: 99%

Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0

Rajawat

Bedi

Goyal

et al. 2021

Mobile Information Systems

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“…Brunelli et al [19] have proposed Deep Learning approach for forecasting production performance in new products packaging. Gao et al [20] have revisited the collaborative and smart robotic system role and its enabling technologies, incorporating drive system, horizontal integration of robotic network, robotic sensors, friendly and natural interaction of humanrobot, and deep-learnt robots. Intelligence such as computing, motion, cognition, and perception will be effortlessly incorporated for meeting diverse societal and industrial needs.…”

Section: Vulnerable Automation and Network Exploitationmentioning

confidence: 99%

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

et al. 2021

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In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.

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“…The first robot to be introduced in human life was a robot arm manipulator used in industries to replace human labor in a dull, dangerous, and dirty working environment [1,2,3,4]. This type of robot has been so wellrecognized and well-researched that it creates a perfect worker for industry revolution 4.0 [5]. Automation has penetrated every aspect of human life to support our lifestyle or to spoil us [5,6,7,8,9,10,11,12,13,14,15], such as a service robot [6], a worker robot [7], and an agriculture robot [12,13,14,15,16,17].…”

Section: Introductionmentioning

confidence: 99%

Motion Control Analysis of Two Collaborative Arm Robots in Fruit Packaging System

Dewi

Anggraini

Risma

et al. 2021

Sinergi

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As robots' use increases in every sector of human life, the demand for cheap and efficient robots has also enlarged. The use of two or more simple robot is preferable to the use of one sophisticated robot. The agriculture industry can benefit from installing a robot, from seeding to the packaging of the product. A precise analysis is required for the installation of two collaborative robots. This paper discusses the motion control analysis of two collaborative arms robots in the fruit packaging system. The study begins with the relative motion analysis between two robots, starting with kinematics modeling, image processing for object detection, and the Fuzzy Logic Controller's design to show the relationship between the robot inputs and outputs. The analysis is carried out using SCILAB, open-source software for numerical computing engineering. This paper is intended as the initial analysis of the feasibility of the real experimental system.

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From Industry 4.0 to Robotics 4.0 - A Conceptual Framework for Collaborative and Intelligent Robotic Systems

Cited by 74 publications

References 30 publications

Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0

Reformist Framework for Improving Human Security for Mobile Robots in Industry 4.0

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

Motion Control Analysis of Two Collaborative Arm Robots in Fruit Packaging System

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