The apposite way path planning algorithm based on local message

According to the problems of autonomous robotic navigation in complex environments, an opposite way path planning algorithm and a novel robot controller based on inertial property is proposed. Firstly, the opposite way path planning algorithm getting the local obstacle message through robot, according to the known obstacles a optimal path calculated which can carries the robot to get to the ultimate target. Secondly, a robot controller based on attractive force function and repulsive force function is designed. The controller can keep the robot away from the obstacle, and escape from the local minima when the robot is blocked by obstacle. The simulation results show that this method has a better optimization result than other common methods such as bug and artificial potential field.