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OCTOPUS Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks.pdf (1.91 MB)

OCTOPUS: Optimized Cross-border TeleOperated Medicine Pouring Using NextGen Seamless Communication Networks

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posted on 2023-12-05, 04:19 authored by Edwin BabaiansEdwin Babaians, Praveen Gorla, Serkut Ayvasik, Jan Plachy, Zdenek BecvarZdenek Becvar, wolfgang kellerer, Eckehard Steinbach

Teleoperated robotic systems have become instrumental in advancing remote healthcare services, especially in tasks that require precision and expert oversight. The advent of cutting-edge telecommunication infrastructures, such as 5G, has amplified interest in these systems, although their full potential remains untapped. This study delves into the effectiveness of teleoperated robotic systems for medicine dispensing, comparing the performance of Wi-Fi and 5G networks in a transnational setup between two cities -- Prague and Munich. We focus on the robot's ability to accurately dispense a predefined volume of a syrup-like substance, simulating a delicate healthcare operation, under the guidance of a distant operator. Our research examines the system's holistic performance in real-world implementation across diverse scenarios, encompassing varying network states and feedback methods. Two primary feedback scenarios are considered: one incorporating real-time video streaming and another offering explicit quantitative data on the dispensed volume. Using a blend of quantitative and qualitative methods, we aim to determine the influence of network type and feedback on task efficacy and user satisfaction. This study provides insights into the potential and hurdles of deploying teleoperated robotic systems in crucial healthcare contexts, guiding future advancements in this domain, especially in scenarios, where precision and dependability are crucial.

Funding

This work has been supported, in part, by the Bayerische Staaskanzlei (Maßnahme: Fernsteuerung von Robotern in vernetzten 5G-Testbeds in Prag und München.)

History

Email Address of Submitting Author

edwin.babaians@tum.de

ORCID of Submitting Author

0000-0002-1516-9744

Submitting Author's Institution

Technical University of Munich

Submitting Author's Country

  • Germany

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