2026-06-27T10:17:56Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/140282023-09-07T20:13:14Zcom_20.500.14352_14col_20.500.14352_21

Bonache Seco, Juan López Orozco, José Antonio Besada Portas, Eva Risco Martín, José Luis 2023-06-17T14:18:16Z 2023-06-17T14:18:16Z 2019 978-1-5108-8388-8 10.23919/SpringSim.2019.8732874 https://hdl.handle.net/20.500.14352/14028 http://dx.doi.org/10.23919/SpringSim.2019.8732874 https://ieeexplore.ieee.org/ 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. eng open access ART-GCS: an adaptive real-time multi-agent ground control station book part