WILDCAT, WILDfire preparedness and prevention framework for unmanned
vehiCle plATforms

Funded by SI Baltic Sea Neighbourhood Programme this project is a collaboration between

KTH Royal Institute of Technology ( Sweden), National Aerospace University "Kharkiv Aviation Institute" ( Ukraine) and Saher ( Europe) OU.

The use of robots is proliferating in support of first responders during disaster management. Most attention is focused on the response phase. However, there are also benefits from the use of this technology during the prevention/mitigation and preparedness phases.
WILDCAT targets the challenge of providing situational awareness to reduce the risk posed to first responders by unavoidable emergencies (prevention/mitigation) through the opportunities provided by sensor platforms for sharing risk information (preparedness) mounted on autonomous or remotely controlled robots. The aim is to advance associated best practice concerning the sharing of fine-grained terrain maps.
From a technology perspective WILDCAT will analyse and describe the tools available to communicate risks through fine-grained terrain maps, in particular using UAV collaborating with UGV. From a policy perspective WILDCAT will further consider associated local traditions and conditions during disaster management.