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Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations

This paper introduces a hybrid robotic swarm system architecture that combines virtual and physical components and enables human–swarm interaction through mixed reality (MR) devices. The system comprises three main modules: (1) the virtual module, which simulates robotic agents, (2) the physical mod...

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Detalles Bibliográficos
Autores principales: Zheng, Chuanqi, Jarecki, Annalisa, Lee, Kiju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485072/
https://www.ncbi.nlm.nih.gov/pubmed/37679356
http://dx.doi.org/10.1038/s41598-023-40623-6
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author Zheng, Chuanqi
Jarecki, Annalisa
Lee, Kiju
author_facet Zheng, Chuanqi
Jarecki, Annalisa
Lee, Kiju
author_sort Zheng, Chuanqi
collection PubMed
description This paper introduces a hybrid robotic swarm system architecture that combines virtual and physical components and enables human–swarm interaction through mixed reality (MR) devices. The system comprises three main modules: (1) the virtual module, which simulates robotic agents, (2) the physical module, consisting of real robotic agents, and (3) the user interface (UI) module. To facilitate communication between the modules, the UI module connects with the virtual module using Photon Network and with the physical module through the Robot Operating System (ROS) bridge. Additionally, the virtual and physical modules communicate via the ROS bridge. The virtual and physical agents form a hybrid swarm by integrating these three modules. The human–swarm interface based on MR technology enables one or multiple human users to interact with the swarm in various ways. Users can create and assign tasks, monitor real-time swarm status and activities, or control and interact with specific robotic agents. To validate the system-level integration and embedded swarm functions, two experimental demonstrations were conducted: (a) two users playing planner and observer roles, assigning five tasks for the swarm to allocate the tasks autonomously and execute them, and (b) a single user interacting with the hybrid swarm consisting of two physical agents and 170 virtual agents by creating and assigning a task list and then controlling one of the physical robots to complete a target identification mission.
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spelling pubmed-104850722023-09-09 Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations Zheng, Chuanqi Jarecki, Annalisa Lee, Kiju Sci Rep Article This paper introduces a hybrid robotic swarm system architecture that combines virtual and physical components and enables human–swarm interaction through mixed reality (MR) devices. The system comprises three main modules: (1) the virtual module, which simulates robotic agents, (2) the physical module, consisting of real robotic agents, and (3) the user interface (UI) module. To facilitate communication between the modules, the UI module connects with the virtual module using Photon Network and with the physical module through the Robot Operating System (ROS) bridge. Additionally, the virtual and physical modules communicate via the ROS bridge. The virtual and physical agents form a hybrid swarm by integrating these three modules. The human–swarm interface based on MR technology enables one or multiple human users to interact with the swarm in various ways. Users can create and assign tasks, monitor real-time swarm status and activities, or control and interact with specific robotic agents. To validate the system-level integration and embedded swarm functions, two experimental demonstrations were conducted: (a) two users playing planner and observer roles, assigning five tasks for the swarm to allocate the tasks autonomously and execute them, and (b) a single user interacting with the hybrid swarm consisting of two physical agents and 170 virtual agents by creating and assigning a task list and then controlling one of the physical robots to complete a target identification mission. Nature Publishing Group UK 2023-09-07 /pmc/articles/PMC10485072/ /pubmed/37679356 http://dx.doi.org/10.1038/s41598-023-40623-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zheng, Chuanqi
Jarecki, Annalisa
Lee, Kiju
Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title_full Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title_fullStr Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title_full_unstemmed Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title_short Integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
title_sort integrated system architecture with mixed-reality user interface for virtual-physical hybrid swarm simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485072/
https://www.ncbi.nlm.nih.gov/pubmed/37679356
http://dx.doi.org/10.1038/s41598-023-40623-6
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