Stammdaten

Titel: Multidrone Mission Execution With EAMOS: From Text to Mission
Untertitel:
Kurzfassung:

Existing software tools for specifying and executing multidrone missions are limited to route planning or tightly coupled to specific drone hardware. We introduce EAMOS (Execution of Aerial Multidrone Missions and Operations Specification Framework), which allows us to specify missions intuitively, text-based, and provides a mission compiler, a mission middle layer, and a distributed drone execution environment. The middle layer wraps the control of individual drone-specific capabilities, such as launch, fly to position, or perform a maneuver, into a public API that transparently utilizes the capabilities of numerous drone platforms. We exploit the Go programming language to implement critical components of the framework and provide an interface for ROS-based drone platforms. EAMOS automates the mission execution on real, virtual, and even hybrid robotic setups involving real and virtual drones. We demonstrate the successful deployment of EAMOS with four missions executed on Pixhawk/PX4-equipped quadcopters and virtual drones simulated with Airsim. We assess the performance of our proposed approach by analyzing the number of nodes and arcs of the mission graphs, which are an essential artifact of our mission compilation, the utilization of ROS service calls during mission execution, and the duration of compilation, deployment, and mission execution. Overall, our experiments showed that our drones correctly behaved during mission execution as expected and specified by their mission, the generated mission artifacts were efficiently manageable, and processing times allowed for a fluent workflow.

Schlagworte: Multi-robot missions; software framework; mission execution; drones; ROS; Airsim
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 06.11.2023 (Online)
Erschienen in: IEEE Access
IEEE Access
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: 11
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 125460 - 125491

Versionen

Keine Version vorhanden
Erscheinungsdatum: 06.11.2023
ISBN (e-book): -
eISSN: 2169-3536
DOI: http://dx.doi.org/10.1109/ACCESS.2023.3330652
Homepage: -
Open Access
  • In einem Open-Access-Journal erschienen

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
  • 2020 - Elektrotechnik, Elektronik, Informationstechnik
Forschungscluster
  • Selbstorganisierende Systeme
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Pervasive Computing Group

Kooperationen

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