Paper

{
  "raw_xml": "<entry>\n    <id>http://arxiv.org/abs/2603.19858v1</id>\n    <title>Beyond detection: cooperative multi-agent reasoning for rapid onboard EO crisis response</title>\n    <updated>2026-03-20T11:20:03Z</updated>\n    <link href='https://arxiv.org/abs/2603.19858v1' rel='alternate' type='text/html'/>\n    <link href='https://arxiv.org/pdf/2603.19858v1' rel='related' title='pdf' type='application/pdf'/>\n    <summary>Rapid identification of hazardous events is essential for next-generation Earth Observation (EO) missions supporting disaster response. However, current monitoring pipelines remain largely ground-centric, introducing latency due to downlink limitations, multi-source data fusion constraints, and the computational cost of exhaustive scene analysis.\n  This work proposes a hierarchical multi-agent architecture for onboard EO processing under strict resource and bandwidth constraints. The system enables the exploitation of complementary multimodal observations by coordinating specialized AI agents within an event-driven decision pipeline. AI agents can be deployed across multiple nodes in a distributed setting, such as satellite platforms. An Early Warning agent generates fast hypotheses from onboard observations and selectively activates domain-specific analysis agents, while a Decision agent consolidates the evidence to issue a final alert. The architecture combines vision-language models, traditional remote sensing analysis tools, and role-specialized agents to enable structured reasoning over multimodal observations while minimizing unnecessary computation.\n  A proof-of-concept implementation was executed on the engineering model of an edge-computing platform currently deployed in orbit, using representative satellite data. Experiments on wildfire and flood monitoring scenarios show that the proposed routing-based pipeline significantly reduces computational overhead while maintaining coherent decision outputs, demonstrating the feasibility of distributed agent-based reasoning for future autonomous EO constellations.</summary>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.RO'/>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.MA'/>\n    <published>2026-03-20T11:20:03Z</published>\n    <arxiv:comment>Accepted for presentation at the ESA's 4S Symposium 2026 Conference (see https://atpi.eventsair.com/4s-symposium-2026/)</arxiv:comment>\n    <arxiv:primary_category term='cs.RO'/>\n    <author>\n      <name>Alejandro D. Mousist</name>\n    </author>\n    <author>\n      <name>Pedro Delgado de Robles Martín</name>\n    </author>\n    <author>\n      <name>Raquel Lladró Climent</name>\n    </author>\n    <author>\n      <name>Julian Cobos Aparicio</name>\n    </author>\n  </entry>"
}