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ART-GCS: an adaptive real-time multi-agent ground control station

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Bonache Seco, Juan and López Orozco, José Antonio and Besada Portas, Eva and Risco Martín, José Luis (2019) ART-GCS: an adaptive real-time multi-agent ground control station. In 2019 Spring Simulation Conference (SpringSim). IEEE, Nueva York. ISBN 978-1-5108-8388-8

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Official URL: http://dx.doi.org/10.23919/SpringSim.2019.8732874


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Abstract

Ground Control Stations (GCS) are essential tools to monitor and command real-world complex missions involving Unmanned Vehicles (UVs). As the number and types of UVs in the mission grows, implementing a robust and adaptable GCS, capable of simplifying and reducing operator' interactions and mental workloads, becomes an engineering challenge. To address it, this paper presents a new Adaptive-Real-Time (ART)-GCS that 1) allows to monitor and control a runtime changing number of heterogeneous UVs, 2) adapt its GUI to the mission requirements and operators workload to minimize their fatigue and stress, and 3) provide support to experiments with actual and simulated UVs. To show its benefits in real-world missions, this paper presents a field experiment where, for safety reasons, a simulated unmanned aerial vehicle has to find an oil-spill that must be enclosed by a containment boom dragged by two real unmanned surface vehicles.


Item Type:Book Section
Additional Information:

©2019 IEEE
Spring Simulation Conference (SpringSim) (2019. Tucson, Arizona)
This work is supported by the Spanish Ministry of Economy and Competitiveness (MINECO) through the funding of DPI2013-46665-C2-1-R project.

Uncontrolled Keywords:Ground control station; Adaptive graphics user interface; Mental workload; Complexity; Transparency
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:58596
Deposited On:21 Jan 2020 19:10
Last Modified:21 Jan 2020 19:10

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