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'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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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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
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EID of the result in the Scopus database
2-s2.0-85123397433