Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced Human-Robot Collaboration Model.

BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious...

Descripción completa

Detalles Bibliográficos
Publicado en:Work Vol. 68; no. 3; pp. 825 - 835
Autores principales: Zheyuan, Cui, Rahman, Md Arafatur, Tao, Hai, Liu, Yao, Pengxuan, Du, Yaseen, Zaher Mundher, Kumar, Priyan Malarvizhi, Pandey, Hari Mohan, Srivastava, Gautam
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. 2021
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160235320&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 160235320
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10519815
        3RC
      jtl: Work
      issn: 10519815
      maglogo: N
    pubinfo:
      dt: 2021
      vid: 68
      iid: 3
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
    artinfo:
      ui:
        160235320
        148853046
        160235320
        160235320
        10.3233/WOR-203416
        160235320
      ppf: 825
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced Human-Robot Collaboration Model.
      aug:
        au:
          Zheyuan, Cui
          Rahman, Md Arafatur
          Tao, Hai
          Liu, Yao
          Pengxuan, Du
          Yaseen, Zaher Mundher
          Kumar, Priyan Malarvizhi
          Pandey, Hari Mohan
          Srivastava, Gautam
        affil: School of Computer Science, Baoji University of Arts and Sciences, China
      sug:
        subj:
          Risk Management
          Industry
          Robotics Equipment and Supplies
          Work Environment
          Assistive Technology Utilization
          Collaboration
          Simulations
          Task Performance and Analysis
          Human
          Experimental Studies
          Artificial Intelligence
          Semantics
          Information Technology
          Communication
          Adaptation, Occupational
          Job Performance
          Software
      ab: BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious and fatal injuries to workers. Collaborative robotics recently plays a rising role in the manufacturing filed, warehouses, mining agriculture, and much more in modern industrial environments. This development advances with many benefits, like higher efficiency, increased productivity, and new challenges like new hazards and risks from the elimination of human and robotic barriers. OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace. RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk. CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N