RT Conference Proceedings
T1 An Intelligent Edge-based Digital Twin for Robotics
A1 Girletti, Luigi
A1 Groshev, Milan
A1 Magalhaes Guimaraes, Carlos Eduardo
A1 Bernardos Cano, Carlos Jesús
A1 Oliva Delgado, Antonio de la
AB Digital Twin is one of the use cases targeted by the fourth industrial revolution (Industry 4.0), which, through the digitalization of the robotic systems, will enable enhanced automation and remote controlling capabilities. Building upon this concept, this work proposes a solution for an Edge-based Digital Twin for robotics, which leverages on the cloud-to-things continuum to offload computation and intelligence from the robots to the network. This imposes stringent requirements over the communication technologies which are fulfilled by relying on 5G. This solution is implemented in an E2E scenario combining the cloud-to-things continuum, 5G connectivity and intelligence capabilities and validated through a set of experimental evaluations. Results show not only that offloading the robot's functions to the edge is feasible when supported by the 5G connectivity, but also the benefits of introducing intelligence and automation.
PB IEEE
SN 978-1-7281-7308-5
YR 2020
FD 2020-12-07
LK https://hdl.handle.net/10016/32691
UL https://hdl.handle.net/10016/32691
LA eng
NO This paper has been presented at 2020 IEEE Globecom Workshop on Advanced Technology for 5G Plus.
NO This work has been (partially) funded by H2020 EU/TW 5G-DIVE (Grant 859881) and H2020 5Growth (Grant 856709). It has been also funded by the Spanish State ResearchAgency (TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52 / AEI / 10.13039/501100011033).
DS e-Archivo
RD 17 jul. 2024