The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

Unmanned aerial vehicles (UAV), or drones, have become popular tools for practitioners
and researchers alike. Recent years have seen a significant increase in UAV uses for many …

Abstract Minimum Time Search (MTS) algorithms help in search missions proposing search
trajectories that minimize the target detection time considering the available information …

This paper presents a cooperative multiagent search algorithm to solve the problem of
searching for a target on a 2-D plane under multiple constraints. A Bayesian framework is …

Wildfires affect countries worldwide as global warming increases the probability of their
appearance. Monitoring vast areas of forests can be challenging due to the lack of resources …

Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …

The focus of this paper is the use of Unmanned Aerial Vehicles (UAVs) for searching
multiple targets under uncertain conditions in the minimal possible time. The problem …

Food security is threatened due to population growth and traditional agriculture is no longer
adequate. Agriculture is one of the main foundation s of a developed economy today. In …

This paper presents a multiagent cooperative search algorithm for identifying an unknown
number of targets. The objective is to determine a collection of observation points and …

We consider the problem of providing surveillance to a grid area using multiple
heterogeneous UAVs, named sentinels and searchers, with complementary sensing and …