Abstract Fuzzy logic has gained excessive attention due to its capacity of handling the data in a much simpler way. It is applied to decrease the intricacy of already existed solutions and to provide the solution of new problems also. On the other hand, neural networks are distinct because of their robust processing and adaptive capabilities in dynamic environment. This paper mainly reviews the primary ideas and contribution of neural network system and fuzzy logic in the field of robotic path planning. Several hybrid techniques, which are being utilized in bringing dream of mobile robots to reality are discussed.

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