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Large language model assisted scheduling of collaborative aerial-ground system for emergency reconnaissance

CORDIS · observation · Publication date unknown

Large language model assisted scheduling of collaborative aerial-ground system for emergency reconnaissance EASIER is an ambitious interdisciplinary project that aims to address aerial-ground collaborative emergency response scheduling by integrating cutting-edge artificial intelligence with advanced optimization methods. Emergency response scenarios, such as flood reconnaissance, wildfire monitoring, or search-and-rescue, require rapid, flexible, and reliable scheduling solutions. However, current optimization methods are either too rigid, too expert-dependent, or insufficiently robust to handle the uncertainties and dynamic nature of real operations. To address these challenges, EASIER builds on three methodological pillars: (i) a large language model-assisted multi-agent scheduling framework that lowers the expertise barrier by translating natural-language mission requirements into s

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recordType

award

status

SIGNED

region

EU

value

260347.92

unit

EUR