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IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10251057" target="_blank" >RIV/61989100:27230/21:10251057 - isvavai.cz</a>

  • Result on the web

    <a href="http://doi.org/10.17973/MMSJ.2021_12_2021181" target="_blank" >http://doi.org/10.17973/MMSJ.2021_12_2021181</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17973/MMSJ.2021_12_2021181" target="_blank" >10.17973/MMSJ.2021_12_2021181</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

  • Original language description

    Human-robot collaboration is a widespread topic within the concept of Industry 4.0. Such collaboration brings new opportunities to improve ergonomics and innovative options for manufacturing automation; however, most of the modern collaborative industrial applications are limited by the fact that neither collaborative side is fully aware of the partner: the human operator may not see the robot movement due to own engagement in the work process, and the collaborative robot simply has no means of knowing the position of the operator. Dynamic replanning of the robot trajectory with respect to the operator&apos;s current position can increase the efficiency and safety of cooperation since the robot will be able to avoid collisions and proceed in task completion; however, the other side of communication remains unresolved. This paper provides a review of methods of improving human awareness during collaboration with a robot. Covered techniques include graphical, acoustic and haptic feedback implementations. The work is focused on the practical applicability of the approaches, and analyses present challenges associated with each method. (C) 2021, MM publishing Ltd.. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    MM Science Journal

  • ISSN

    1803-1269

  • e-ISSN

    1805-0476

  • Volume of the periodical

    2021-12

  • Issue of the periodical within the volume

    December

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    5475-5480

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85123397433