Research on Robot Path Planning Based on Fuzzy Neural Network Algorithm

Abstract

Path planning is one of the key technologies in the research of mobile robots. Based on the research of fuzzy theory and neural network, a new algorithm is proposed, namely fuzzy neural network. The fuzzy neural network can be processed in parallel and self-learning like a neural network, and can also process fuzzy information like fuzzy theory and complete the fuzzy inference function. The fuzzy neural network is used to plan the path of the mobile robot, and the respective advantages of the fuzzy theory and the neural network are fully utilized to obtain the optimal path from the starting point to the target point. The simulation experiment was carried out under the condition that the environmental information is completely unknown and static. The results show that: The algorithm has high efficiency and fast convergence speed and effectively improves the intelligent level of the mobile robot.