Autonomous ground vehicles for MEDEVAC: capability assessment based on agent-based modelling

The use of UGVs can improve the care of the wounded, assuming the involvement of advanced technologies, including artificial intelligence. Information about the time and place of casualties is the key for decision makers to achieve the benefit, which should be ensured through potential monitoring of the physical condition of the wounded (body sensors and data transmission in case of injury).

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Publication Details

Journal
BMJ Military Health
Published
2025-08-14
DOI
https://doi.org/10.1136/military-2024-002885
Citations
1
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.11
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article

Autonomous ground vehicles for MEDEVAC: capability assessment based on agent-based modelling

Aleš Tesař, Josef Melichar, Hynek Schvach, Dalibor Procházka et al.
1 citations
BMJ Military Health
Simulation Techniques and Applications
2.11
article

Autonomous ground vehicles for MEDEVAC: capability assessment based on agent-based modelling

Aleš Tesař, Josef Melichar, Hynek Schvach, Dalibor Procházka, V Šedivcová
article en
1 citations

Abstract

The use of UGVs can improve the care of the wounded, assuming the involvement of advanced technologies, including artificial intelligence. Information about the time and place of casualties is the key for decision makers to achieve the benefit, which should be ensured through potential monitoring of the physical condition of the wounded (body sensors and data transmission in case of injury).

BMJ Military Health
Ministry of Defence (CZ), University of Defence (RS), University of Defence (CZ)
Openalex Percentile: Top 11%
Simulation Techniques and Applications
2.11
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