Efficient trajectory planning algorithms are a crucial issue for modern autonomous underwater vehicles.

This thesis supports ongoing ONR research in the area of Autonomous Underwater Vehicles (AUVs) and Mine Warfare.

As unmanned aerial vehicles (UAVs) take on more prominent roles in aerial missions, it becomes necessary to increase the level of autonomy available to them within the mission planner.

A real-time method for trajectory optimization to maximize surveillance time of a fixed or moving ground target by one or more unmanned aerial vehicles (UAVs) is presented.

For the latest twenty to thirty years, a significant number of AUVs has been created for the solving of wide spectrum of scientific and applied tasks of ocean development and research.

This book provides a diversified survey of research and development on small and miniature unmanned aerial vehicles of both fixed and rotary wing designs.