IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

IMPROVING HUMAN AWARENESS DURING COLLABORATION WITH ROBOT: REVIEW

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: Platforma pro výzkum orientovaný na Průmysl 4.0 a robotiku v ostravské aglomeraci</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

MM Science Journal

ISSN

1803-1269

e-ISSN

1805-0476

Svazek periodika

2021-12

Číslo periodika v rámci svazku

December

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

5475-5480

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85123397433