Research On Intelligent Path Planning Method Of Mobile Robot

In recent decades,a large number of researchers have conducted research on the relevant theories of mobile robots,because the relevant research content represents the future development direction of artificial intelligence,and the path planning technology of mobile robots is even more important.Path planning is a prerequisite for mobile robots to accomplish tasks autonomously,and is usually placed in the robot controller as a low-level control strategy.Mobile robots are currently used in production and life,military,medical and other fields.Therefore,the path planning of mobile robots can be carefully studied.This paper mainly studies the related content of path planning of mobile robots.The research work of this paper includes the following aspects:(1)Research on improved Dijkstra Robot Global Path Planning AlgorithmThe application of improved Dijkstra algorithm to path planning of mobile robots is studied.In the established viewable map model,given the starting point and end point of the robot operation,the path planning effect of the classic Dijkstra algorithm is first realized.On this basis,the classic algorithm is improved and the path planning effect of the improved Dijkstra algorithm is realized through simulation.,To compare and analyze the two.The simulation results show that the improved Dijkstra algorithm has fewer redundant inflection points and lower moving costs than the classic Dijkstra algorithm.(2)Research on Path Planning of Mobile Robot Based on Improved Genetic AlgorithmThe application of improved genetic algorithm to mobile robot path planning is studied.In the established raster map model,given the starting point and end point of the robot operation,the path planning effect of the classic genetic algorithm is first realized.On this basis,the classic algorithm is improved and the path planning effect of the improved genetic algorithm is realized through simulation.,To compare and analyze the two.The simulation results show that the improved genetic algorithm can obtain shorter paths and fewer iterations of the algorithm.(3)Research on Mobile Robot Global Path Planning and Speech Recognition Based on Improved Whale AlgorithmThe application of whale optimization algorithm in mobile robot path planning is studied.In the established raster map model,given the starting point and ending point of the robot operation,the path planning effect of the classic whale optimization algorithm is first realized.On this basis,the classic algorithm is improved and the path of the improved whale optimization algorithm is realized through simulation.Plan the effect and compare and analyze the two.The simulation results show that the improved whale algorithm is more suitable for mobile robot path planning,and the path obtained is shorter than that of the classic whale algorithm,with fewer iterations of the algorithm.The application of BP network based on improved whale algorithm to speech recognition of isolated words is studied.First,establish an online isolated word speech library for feature extraction and classification.On the basis of the self-established isolated word speech library,feature extraction is performed on the speech signal to establish a feature vector matrix,and the BP network is used to train the speech data and distinguish categories.The optimized whale optimization algorithm is used to improve the classification effect of the BP network,and the classification effect of the improved neural network is verified through simulation.