Research on Path Control Method for Book Robot Retrieving Books Based on Machine Vision
In response to the path planning problem of book robots in the library,a library raster map is constructed by combining the Cartographer algorithm and laser vision radar technology,and an improved A*algorithm and ant colony optimization algorithm are used for path planning.Finally,a new robot book retrieval path planning control model is proposed.Experimental results show that with the weight coefficient of the proposed model of 0.6,the model shortens its planned optimal path by a maximum of 8 m com-pared to other models,achieves the success rate of its path planning by 95％,and reduces the number of planned path turning points by up to 4 compared to similar models.The study successfully proposes an effective book robot retrieval path planning model,which improves the efficiency of retrieving books and meets the application needs of machine vision and mobile robots during the process of retrieving books from the library.
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