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

Author:

Singh Rajawat Anand1ORCID,Bedi Pradeep2ORCID,Goyal S. B.3ORCID,Shukla Piyush Kumar4ORCID,Zaguia Atef5ORCID,Jain Aakriti6ORCID,Monirujjaman Khan Mohammad7ORCID

Affiliation:

1. Department of Computer Science Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

2. Lingaya’s Vidyapeeth, Faridabad, India

3. City University, Petaling Jaya, Malaysia

4. Computer Science & Engineering Department, University Institute of Technology,Rajiv Gandhi Proudyogiki Vishwavidyalaya, (Technological University of Madhya Pradesh), Bhopal 462033, India

5. Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia

6. Department of Computer Science and Engineering, Sagar Institute of Research and Technology Excellence, Bhopal, Madhya Pradesh, India

7. Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh

Abstract

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.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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