This document presents a method for mobile robot path planning using artificial neural networks and fuzzy logic. It introduces the problem of planning a collision-free path for a robot from an initial to goal location amidst obstacles. An artificial neural network is trained to choose a path from multiple options, while a fuzzy logic system is used for obstacle avoidance when all paths are blocked. The combination of neural networks and fuzzy logic provides a computationally efficient solution that overcomes limitations of individual approaches. The results demonstrate increased performance over traditional computational geometry methods.