Search is a fundamental task for Wilderness Search
and Rescue that can greatly benefit from the use of a swarm of
autonomous UAVs to survey the environment. The benefits are
maximised if the UAVs coordinate their search activities with
one another. In this poster, we present our preliminary work
on developing coordination strategies for multiple UAVs. It is
based on a distributed, grid-based probabilistic environmental
model. We discuss the practicalities of the search task, present a
simplified mathematical model of the environment and sensors,
and present some preliminary simulation-based results. These
clearly illustrate, even in a highly simplified case, the great
benefits of coordinated search.