Optimizing mobile robot navigation using computational intelligence

This research provide an overview of computational intelligence and robotics. Mapping and navigation of robotics is time consuming and often ineffective. Therefore, the goal of this research is to optimize path finding navigation of robotics using computational intelligence. Several algorithms are proposed by previous researchers such as genetic algorithm, swamp intelligence and artificial immune system. Global and local environments with static and dynamic obstacles are used to test the result. Robotic simulation is used to validate the effectiveness of the algorithm.