@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{56072,
  abstract     = {{Weather-induced emergencies are characterized by underlying weather phenomena, their evolution in time and space as well as their impact on the environment including people, nature and infrastructure. Typically, simulations are used to consider a variety of potential extreme weather scenarios in preparedness phases. Due to required computing power, duration and high efforts in parameterizing such tools are hardly used within response situations. Enhanced simulation models and surrogate models based on machine learning technologies carry potentials to overcome
these challenges. An approach is presented that adopts simulation for the case of flooding events. It considers all phases from demand situation in command posts through advanced parameter space exploration to advanced visualization of simulation results in Augmented Reality. Initial evaluation results are presented, complemented by conclusions on incorporated technologies. The results contribute to future adoption of simulation even in time-critical
response situations.}},
  author       = {{Pottebaum, Jens and Ebel, Marcel and Gräßler, Iris}},
  booktitle    = {{Mensch und Computer 2024 - Workshopband}},
  keywords     = {{extreme weather, emergency response, simulation, Augmented Reality}},
  location     = {{Karlsruhe}},
  publisher    = {{Gesellschaft für Informatik e.V.}},
  title        = {{{Extending the application of simulation from preparedness to response use cases in weather-induced emergencies}}},
  doi          = {{10.18420/muc2024-mci-ws13-209}},
  year         = {{2024}},
}