Plenary lecture 5: military path planning for unmanned autonomous agents
Manoj K. Jha · International Conference on Computer Engineering and Applications · 2010
Due to the uncertainties and higher risks of fatality in combat situations, Unmanned Autonomous Agents (UAA) may be proven to be a safer alternative for carrying our critical missions, such as search and rescue, and reconnaissance operations. In this presentation we discuss a Military Path Planning Algorithm (MPPA) for a robot or an Unmanned Autonomous Agent (UAA) to map out a safe and efficient path from a specified origin to destination in a combat environment surrounded by enemies. It is assumed that the UAA (or robot) moves along a digital terrain and has sensing capability which is a function of distance, i.e., it will not know where the enemies are located unless it is at a certain distance from them. The objective is to reach the destination point from the origin in a safe and efficient manner while maintaining a safe distance from enemies. The MPPA is tested with two enemies randomly located on the terrain along which the UAA moves. Several ongoing works as well as directions of future research are also presented.