Abstract We present the Incident Based-Boat Allocation Model (IB-BAM), a multi-objective
model designed to allocate search and rescue resources. The decision of where to locate …

In collaborative tasks involving human and robotic teammates, live communication between
agents has potential to substantially improve task efficiency and fluency. Effective …

Justification is an important facet of policy explanation, a process for describing the behavior
of an autonomous system. In human-robot collaboration, an autonomous agent can attempt …

Maritime search and rescue (SAR) operations, conducted for rendering aid to the victims in
need of help at sea, play a crucial role in dropping the number of causalities. Therefore, it is …

This paper proposes a new evolutionary planner to determine the trajectories of several
Unmanned Aerial Vehicles (UAVs) and the scan direction of their cameras for minimizing the …

In this paper, we propose a methodology and algorithms for search and rescue mission
planning. These algorithms construct optimal areas for lost person search having in mind the …

Geospatial data and tools are key in locating lost or missing persons in as short a time as
possible. In this study, we used a geographic information system (GIS) to analyze four years …

In search and rescue (SAR) operations, up-to-date information on the terrain is critical
because every additional hour required to search for a person reduces the likelihood of …

In human-robot teaming, live and effective communication is of critical importance for
maintaining coordination and improving task fluency, especially in uncertain environments …

We apply cognitive modeling to improve the wisdom of the crowd in a spatial knowledge
task. Participants provided point estimates for where 48 US cities are located and then …