Augmented Reality for Humans-Robots Interaction in Dynamic Slotting "Chaotic Storage" Smart Warehouses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F19%3A10243147" target="_blank" >RIV/61989100:27230/19:10243147 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-030-30000-5_77" target="_blank" >http://dx.doi.org/10.1007/978-3-030-30000-5_77</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-30000-5_77" target="_blank" >10.1007/978-3-030-30000-5_77</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Augmented Reality for Humans-Robots Interaction in Dynamic Slotting "Chaotic Storage" Smart Warehouses
Popis výsledku v původním jazyce
Nowadays, smart warehouses mostly use Automated Guided Vehicles (AGVs) controlled through magnetic or painted paths. This approach is suitable for "static slotting" warehouses, and for places where humans do not cross paths with mobile robots. Therefore, fixed-path AGVs are not an optimal solution for dynamic slotting "chaotic storage" warehouses, where picking and delivery paths are often changing. Hence, it is important to create an environment where AGVs have planned their path, and storekeepers can see their paths, and mark restricted areas by virtual means if needed, for these mobile robots and humans to move and stand safely around a smart warehouse. In this paper, we have proposed an Augmented Reality (AR) environment for storekeepers, where they can see an AGV planned path, and they can add virtual obstacles and walls to the mobile robots' cyber-physical navigation view. These virtual obstacles and walls can be used to determine restricted areas for mobile robots, which can be seen for example as safe areas for humans' and/or robots' stationary work. Finally, we introduce the system architecture supporting the proposed AR environment for humans-mobile robots safe and productive interaction. (C) IFIP International Federation for Information Processing 2019.
Název v anglickém jazyce
Augmented Reality for Humans-Robots Interaction in Dynamic Slotting "Chaotic Storage" Smart Warehouses
Popis výsledku anglicky
Nowadays, smart warehouses mostly use Automated Guided Vehicles (AGVs) controlled through magnetic or painted paths. This approach is suitable for "static slotting" warehouses, and for places where humans do not cross paths with mobile robots. Therefore, fixed-path AGVs are not an optimal solution for dynamic slotting "chaotic storage" warehouses, where picking and delivery paths are often changing. Hence, it is important to create an environment where AGVs have planned their path, and storekeepers can see their paths, and mark restricted areas by virtual means if needed, for these mobile robots and humans to move and stand safely around a smart warehouse. In this paper, we have proposed an Augmented Reality (AR) environment for storekeepers, where they can see an AGV planned path, and they can add virtual obstacles and walls to the mobile robots' cyber-physical navigation view. These virtual obstacles and walls can be used to determine restricted areas for mobile robots, which can be seen for example as safe areas for humans' and/or robots' stationary work. Finally, we introduce the system architecture supporting the proposed AR environment for humans-mobile robots safe and productive interaction. (C) IFIP International Federation for Information Processing 2019.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IFIP Advances in Information and Communication Technology. Volume 566
ISBN
978-3-030-29999-6
ISSN
1868-4238
e-ISSN
1868-422X
Počet stran výsledku
9
Strana od-do
633-641
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Austin
Datum konání akce
1. 9. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—