Research on path planning of mobile robot based on genetic algorithm
Nan Cheng · 2023
From a certain point of view, the level of the mobile robotics field also represents the degree of development of advanced science and technology in the country. Traditional algorithms gradually show some defects with the development of the times and cannot adapt well to the complex working environment of mobile robots. The advantage of genetic algorithm is its high level of overall retrieval and good robustness, so this study chooses genetic algorithm when arranging paths for mobile robots.In this study, the scene conditions of movement are created for the mobile robot by raster map method in MATLAB software, and the adaptation level function is created with reference to the need of its movement smoothing level and route distance, and the appropriate weighting factors of smoothing level and route distance as well as the relevant parameters of genetic algorithm are found, and it is concluded that the changes of different parameters will have a large impact on the movement path of the mobile robot, and by the The adjustment of the parameters can enable the mobile robot to find the optimal path in different environments smoothly.