Without Local Minimum by Using Make Circular Obstacles

This paper presents a new methods for having environment without local minimum. Artificial potential fields used for path planning. We use a workspace image then determine and change shape of obstacles to circular obstacles by using image processing algorithms. This method cause to have an environment without local minimum. Furthermore the simulation results show how this method improved algorithm and robot did not trap in local minimum.