We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Autonomous agents transcend their individual capabilities by cooperating towards achieving shared goals. The different viewpoints agents have on the environment cause disagreement...
Alexandros Belesiotis, Michael Rovatsos, Iyad Rahw...
We present an agent-based coordination and planning method for aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The method ...
We describe a VRML/Java-based virtual environment that is populated with heterogeneous articulated agents. In this simulated environment, agents compete for collecting certain obj...
Abstract— This paper describes an investigation into the control of autonomous mobile sensor platforms in a marine sensor network used to provide monitoring of transitory phenome...
Donald P. Eickstedt, Michael R. Benjamin, Henrik S...