@inproceedings{61060,
  abstract     = {{In early operational phases of severe weather events, a lack of
information challenges emergency management teams to gain
an overview of the situation and make informed decisions. To
support situational exploration, unmanned aerial and ground
vehicles attract increasing attention, primarily used to
document operational sites. However, they offer further
potential in early operational phases. To ensure their reliable
use for exploration, decision-makers must be aware of
opportunities and limitations under prevailing conditions. For
this, use cases for robotic simulation in emergency response
are presented, considering technical restrictions and dynamic
influences from weather impacts. The approach of integrating
rescue robot simulation into the response phase is developed
following a five-step research design. Existing use cases of
rescue robot simulation are identified in a systematic literature
analysis. The results are extended with use cases developed for
urban flooding scenarios. Subsequently, use cases are assessed
and selected for implementation in the simulation environment
Gazebo. Finally, the results are validated with end users in the
EU research project CREXDATA, which focuses on decision
support based on processing extreme data. The implemented
use cases demonstrate the potential of robotic simulation in
emergency response to accelerate action planning in decisionmaking and provide a more detailed picture, enabling betterinformed decisions. }},
  author       = {{Gräßler, Iris and Döhner, Niklas and Ebel, Marcel and Pottebaum, Jens}},
  booktitle    = {{Mensch und Computer 2025 - Workshopband}},
  keywords     = {{robotic simulation, rescue robots, emergency response, extreme weather}},
  location     = {{Chemnitz}},
  title        = {{{Shifting boundaries from preparedness to response: Using simulation of rescue robots in weather-induced emergencies}}},
  doi          = {{10.18420/muc2025-mci-ws01-187}},
  year         = {{2025}},
}

@inproceedings{61109,
  author       = {{Pottebaum, Jens and Gräßler, Iris and Ebel, Marcel and Özcan, Deniz and Döhner, Niklas and Pratzler-Wanczura, Sylvia and Derin, Enes and Krüger, Oliver and Kruijff-Korbayova, Ivana and Stampa, Merlin}},
  location     = {{Koblenz, Deutschland}},
  pages        = {{81--94}},
  publisher    = {{LibreCat University}},
  title        = {{{EU-Projekt CREXDATA: Erkenntnisse und Handlungsempfehlungen zum Einsatz KI-generierter Lageinformationen für die Lagebewertung und Maßnahmenplanung in Extremwetterlagen}}},
  doi          = {{10.5281/ZENODO.16740824}},
  year         = {{2025}},
}