Avoiding Static and Dynamic Objects in Navigation

Real-time collision free path planning involves avoidance of static as well as dynamic objects in unknown environment. Strategies suitable for stationary navigation cannot be suitable for the dynamic environment. Behavior-based control combined with fuzzy control to avoid dynamic and static obstacle is described in this paper. Behavior-based control helps the robot get over complex static environment or avoid dynamic objects according to different collision situation. Double-layered fuzzy logic control helps figure out velocity and steering angle of the robot based on some uncertain information. The method has been tested effectively through simulation by a mobile robot navigating amidst multiple static and dynamic environments