Robotic Path Planning and Fuzzy
Neural Networks
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.
Keywords: Neural networks, fuzzy logic,
obstacle avoidance, path planning.
Received
February 29, 2020; accepted June 9, 2020