Improved route optimization for autonomous ground vehicle navigation

Mobile robot navigation is a very important exercise in all robotic application from a domestic household cleaner to highly dangerous life threatening situations. Path planning is the main issue related to navigation. It is very important for an autonomous mobile vehicle to navigate properly without any collision or unsafe conditions in its environment. Path planning in mobile robots must ensure the optimal route with least cost and collision free path. In this paper, an algorithm to reduce the path searching process by half of the traditional methods is proposed.